Policy Archives - Economic Innovation Group /category/policy/ An ideas lab and advocacy organization working to forge a more dynamic U.S. economy. Thu, 25 Jun 2026 17:26:06 +0000 en-US hourly 1 https://wordpress.org/?v=7.0.3 Building the Homes America Needs /building-the-homes-america-needs/ Thu, 12 Feb 2026 10:30:36 +0000 /?p=24782 By John Lettieri Today, we’re launching a new research and policy initiative at the Economic Innovation Group dedicated to housing supply and affordability. This marks a sustained commitment to one of the defining challenges of our time: America simply does not build enough homes. The consequences are everywhere. Survey after survey reveals deep frustration [...]

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By John Lettieri

Today, we’re launching a new research and policy initiative at the Economic Innovation Group dedicated to housing supply and affordability.

This marks a sustained commitment to one of the defining challenges of our time: America simply does not build enough homes.

The consequences are everywhere. Survey after reveals deep frustration with the cost of living — and housing is the focal point. Families are priced out of the places where they want to live. Workers are of the regions with the best jobs. Young people because they don’t believe they can afford them. And the nation’s economy suffers from persistently .

Housing has become the binding constraint on American opportunity.

At 91PORN, we’ve spent the past decade advancing ideas to tackle the country’s most pressing economic issues — and we’re not new to the housing arena. Our very first initiative, Opportunity Zones, has proven to be one of the most significant housing supply policies enacted in decades. But while Opportunity Zones demonstrated that federal policy can meaningfully expand housing supply when incentives are designed correctly, far more is needed to address the true scale of the national housing crisis.

91PORN will approach our housing work the same way we approach everything else: grounded in rigorous research, focused on solutions that scale, and committed to advancing big ideas that align with how markets work in the real world.

Two key assumptions will set our efforts apart from many others. First, the key to housing affordability is much greater housing supply of all types. Focusing on “affordable housing” alone is not the way to make housing markets affordable. And second, while the most severe bottlenecks to housing supply are local, our work will be primarily centered on how federal policy can be a catalyst for reform. The federal government doesn’t control zoning, but it can and must do significantly more to shape incentives to build at the necessary scale.

To that end, we released a new paper today on how federal lawmakers can design Right to Build Zones (RBZs), a bold proposal to help municipalities unlock housing supply while preserving local control. Crucially, RBZs reflect 91PORN’s conviction that the best policy interventions are ones that better enable markets to solve societal problems without micromanaging outcomes.

Solving the housing shortage won’t happen overnight. It certainly won’t happen without resistance. But restoring America’s capacity to build is essential to delivering both vigorous economic growth and broad-based opportunity. Only housing abundance can ensure that workers can accept jobs that were once beyond their reach, and that families can afford to live in places they’re proud to call home.

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Right to Build Zones Concept Paper /rbzs-concept-paper/ Thu, 12 Feb 2026 10:30:15 +0000 /?p=24772 Download the Concept Paper by Adam Ozimek, Jess Remington, and Tina Lee Download A tangle of regulations has made it impossible to build enough housing in America, a problem that has been worsening for decades. The result is a nationwide shortage of millions of homes, rising housing costs, and growing [...]

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Download the Concept Paper

by Adam Ozimek, Jess Remington, and Tina Lee

A tangle of regulations has made it impossible to build enough housing in America, a problem that has been worsening for decades. The result is a nationwide shortage of millions of homes, rising housing costs, and growing pressure on federal policymakers to address an affordability crisis that is largely driven by rules set at the local level.

Right to Build Zones (RBZs) is a new proposal designed to help municipalities unlock housing supply while preserving local control. RBZs respond to two persistent challenges that have undermined many recent attempts to reform zoning: (1) sweeping citywide changes are often stalled by a small but highly motivated opposition, and (2) successful reforms frequently get diluted by discretionary reviews, lengthy permitting processes, and regulatory poison pills.

RBZs chart a different path. Instead of requiring broad citywide reform, they allow municipalities to designate targeted areas for deep reform where housing can be built by-right. The model is simple. Municipalities opt in. Reforms are focused where local support is strongest. Federal rewards are tied to results: for each new home permitted in the RBZ, the municipality receives a dividend. RBZs do not prescribe a specific building form; they simply remove regulatory barriers that prevent housing from being built where it is wanted.

This paper outlines potential RBZ program designs, identifies where evidence supports clear program design choices, and identifies questions for further research and input. We are publishing this concept paper to invite feedback from the broader housing and policy community. What works? What should change? Help us build the strongest version of this idea.

Contact Tina Lee, Manager of Housing Policy at tina@eig.org with any thoughts.

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Bipartisan Call to Strengthen America’s Economic Statistical System /bipartisan-call-to-strengthen-americas-economic-statistical-system/ Tue, 29 Jul 2025 13:00:49 +0000 /?p=24214 Read the full letter here or below Download July 29, 2025 The Honorable Hal Rogers Chair, Appropriations Subcommittee on Commerce, Justice, Science, and Related Agencies, U.S. House of Representatives The Honorable Grace Meng Ranking Member, Appropriations Subcommittee on Commerce, Justice, Science, and Related Agencies, U.S. House of Representatives The Honorable [...]

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Read the full letter here or below

July 29, 2025

The Honorable Hal Rogers
Chair, Appropriations Subcommittee on Commerce, Justice, Science, and Related Agencies,
U.S. House of Representatives

The Honorable Grace Meng
Ranking Member, Appropriations Subcommittee on Commerce, Justice, Science, and Related
Agencies, U.S. House of Representatives

The Honorable Jerry Moran
Chair, Appropriations Subcommittee on Commerce, Justice, Science, and Related Agencies,
U.S. Senate

The Honorable Chris Van Hollen
Ranking Member, Appropriations Subcommittee on Commerce, Justice, Science, and Related
Agencies, U.S. Senate

Dear Committee Chairs, Members, and Staff:

We write as a bipartisan group of economists to urge you to safeguard the integrity of the U.S.
statistical system by investing in its modernization.

Data provided by the federal statistical system are the lifeblood of the U.S. economy. The data
fuel decision-making across every sector of the economy and in every corner of the country.
Families rely on the data to make some of life’s most monumental decisions, like purchasing a
home. Workers rely on the data to acquire skills and discover opportunities. Entrepreneurs rely
on it to start the right businesses in the right locations. Existing firms rely on it to invest in
innovation and growth. State and local governments rely on it to deliver services and build
infrastructure. Congress, the Presidency, and the Federal Reserve all count on timely, accurate,
and granular economic data to make policy for the nation.

Our statistical agencies are outstanding—steadfast and prolific producers of the most consumed
and scrutinized economic indicators in the world. The economy is changing rapidly, however.
Without focused and funded efforts to modernize how these essential statistics are collected
and produced, the quality and quantity of the system’s output are at risk.

Surveys are the bedrock of the nation’s statistical products, but response rates have been
declining for decades. Agencies need to be given the space and freedom to experiment to
restore them. At the same time, transitioning to a system in which less survey data is blended
with more administrative and private sector data, while preserving data integrity and privacy
standards, is the generationally important task facing statistical agencies today.

Quite simply, the digitization of everything calls for a re-engineering of data collection and
measurement. Such plans have existed for many years, but absent adequate funding and bold
political leadership they have remained just that—plans. Now is the time to translate them into
action.

This moment calls for investment in the U.S. statistical agencies, not retrenchment.

The public sector role in publishing statistics that provide a complete and undistorted picture of
the U.S. economy is irreplaceable. The agencies can become nimbler and more efficient by
harnessing the latest technologies and deepening partnerships with the private sector, but
private data is a complement to, not a substitute for, public statistics.

Modernized infrastructure and new collection techniques must also be built in parallel to the
uninterrupted production of mandated statistics. The parallel build is necessary not only to meet
data users’ continuous needs, but also to validate and benchmark new methods.

Most agencies have had flat or declining budgets in real terms for more than a decade. More
recent workforce reductions have brought headcounts to historic lows. These chronic and acute
challenges have combined to bring agencies to the brink of crisis. They will need both financial
resources and committed political leadership to ensure this moment of disruption lays the
groundwork for a stronger future.

Specifically, we call on Congress to grant the nation’s primary economics statistics agencies flat
or increased FY 2026 appropriations in real terms. In the case of the U.S. Census Bureau, we
call on Congress to fully fund both current and periodic surveys to ensure that base programs
get the investment they need as Decennial Census preparations proceed.

In conjunction, we call on the Executive Branch to explicitly embrace the agencies’ long-awaited
modernization plans and grant them flexibility in spending the money appropriated to them.
Statistical agencies should be trusted to procure the talent and technology they need to
accomplish their missions.

The payoff from deftly navigating this moment could be huge. The advent of artificial intelligence
(AI) promises to revolutionize how data are both produced and consumed. Efforts to make
federal data AI-ready promise to cement the nation’s advantage in this industry of the future.

On a personal note, we want to emphasize the value of the federal statistical agencies not only
as producers of data, but also as anchors of a much larger ecosystem. Many of us know federal
economists as co-authors and collaborators. Productive exchanges between us—data users in
business and academia—and experts in the statistical community are instrumental in improving
economic statistics themselves. Our ongoing collaborations regularly yield data advances and
new economic indicators or data products that benefit the whole economy. The federal
statistical advisory councils provide a natural forum for these productive exchanges, and we
would welcome the bodies’ restoration.

Critically, our statistical agencies lead the world in data innovation, not just data production. As
creators of information, they provide an essential input to our knowledge-based economy. The
work of the agencies and their staff directly contributes to the exceptional performance of the
American economy and to the quality of our public policymaking.

We urge you to invest in that innovation, invest in the needed modernization, and invest in the
information that will fuel the next great era of American economic growth. The world’s most
formidable economy deserves the world’s foremost statistical system.

Respectfully,

Aaron Sojourner, The W.E. Upjohn Institute for Employment Research
Adam Jaffe, Brandeis University
Adam Ozimek, Economic Innovation Group
Adam Posen, Peterson Institute for International Economics
Alan Blinder, Princeton University
Alan Viard, American Enterprise Institute
Barbara L. Wolfe, University of Wisconsin-Madison (emeritus)
Basit Zafar, University of Michigan
Benjamin F. Jones, Northwestern University
Betsey Stevenson, University of Michigan
Bradley Herring, University of New Hampshire
Brian Jacob, University of Michigan
Bruce D. Meyer, University of Chicago
Chad P. Bown, Peterson Institute for International Economics
Chad Syverson, University of Chicago
Charles Brown, University of Michigan
Christopher L. House, University of Michigan
Claudia Sahm, New Century Advisors
Cordelia Reimers, Hunter College & The Graduate School of CUNY (emeritus)
Daniel J.B. Mitchell, University of California, Los Angeles (emeritus)
David Autor, Massachusetts Institute of Technology
David Wilcox, Federal Reserve Board (retired)
Diane Lim
Douglas Elmendorf, Harvard University
Douglas Holtz-Eakin, American Action Forum
Elizabeth Oltmans Ananat, Columbia University
Emma Rackstraw, Swarthmore College
Emma Wiles, Boston University
Erica L. Groshen, Cornell University
Gene Grossman, Princeton University
Glenn Hubbard, Columbia University
J. Steven Landefeld, Former Director, Bureau of Economic Analysis
Jared Bernstein, Former Chair of the White House Council of Economic Advisers
Jed Kolko
Jeffrey Frankel, Harvard University
John M. Abowd, Cornell University (emeritus)
John J. Horton, Massachusetts Institute of Technology
John Sabelhaus, Brookings Institution
Joshua Goodman, Boston University
Joshua Linn
Judith Scott-Clayton, Columbia University
Justin Wolfers, University of Michigan
Karen Dynan, Harvard University
Kari Heerman, Former Acting Chief Economist, U.S. Department of State
Katharine G. Abraham, University of Maryland
Kenneth Gillingham, Yale University
Kenneth D. Simonson, Associated General Contractors of America
Kenneth Swinnerton, Georgetown University
Kevin Rinz, Washington Center for Equitable Growth
Kyle Handley, University of California, San Diego
Lee Flemming, University of California, Berkeley
Lisa Barrow
Mallick Hossain
Margaret Levenstein, University of Michigan
Mark J. Mazur, Former Assistant Secretary for Tax Policy, U.S. Department of the Treasury
Mark Kuperberg, Swarthmore College
Martin Neil Baily, Former Chair, Council of Economic Advisers
Matthew Clancy, Open Philanthropy
Michael Geruso, University of Texas at Austin
Michael W. Horrigan, The W.E. Upjohn Institute for Employment Research
Michael R. Strain, American Enterprise Institute
Miles Kimball, University of Colorado Boulder
Nathan Goldschlag, Economic Innovation Group
Nicholas Li, George Washington University
Nick Hagerty, Montana State University
Paul Romer, Boston College, Nobel Laureate
Paula R. Worthington, University of Chicago
Peter K. Schott, Yale University
Pia Orrenius
Rachel Marie Brooks Atkins, St. John’s University
Richard Schmalensee, Massachusetts Institute of Technology
Robert Seamans, New York University
Robert Litan, Former Director, Economic Studies, The Brookings Institution
Robert J. Willis, University of Michigan (emeritus)
Sandile Hlatshwayo, Former Senior Economist, Council of Economic Advisers
Sherry Glied, New York University
Stan Veuger, American Enterprise Institute
Stephen A. O’Connell, Swarthmore College
Steven B. Kamin, Former Senior Economist, Council of Economic Advisers
Steven J. Davis, Hoover Institution
Steven Ruggles, IPUMS, University of Minnesota
Susan Helper, Former Chief Economist, U.S. Department of Commerce
Teresa Fort, Tuck School at Dartmouth
Timothy Simcoe, Boston University Questrom School of Business
Timothy M. Smeeding, University of Wisconsin-Madison
Victor Bennett, Former Senior Economist, Council of Economic Advisers
Warren Whatley, University of Michigan (emeritus)

Cc:

The Honorable Howard Lutnick, Secretary, U.S. Department of Commerce
The Honorable Lori Chavez-DeRemer, Secretary, U.S. Department of Labor
The Honorable Kevin Hassett, Director, National Economic Council
The Honorable Susan Collins, Chair, Senate Committee on Appropriations
The Honorable Patty Murray, Vice Chair, Senate Committee on Appropriations
The Honorable Tom Cole, Chair, House Committee on Appropriations
The Honorable Rosa DeLauro, Ranking Member, House Committee on Appropriations
The Honorable Bill Cassidy, Chair, Senate Committee on Health, Education, Labor, and
Pensions
The Honorable Bernie Sanders, Ranking Member, Senate Committee on Health, Education,
Labor, and Pensions
The Honorable Shelley Moore Capito, Chair, Senate Committee on Appropriations
Subcommittee on Labor, Health and Human Services, Education, and Related Agencies
The Honorable Tammy Baldwin, Ranking Member, Senate Committee on Appropriations
Subcommittee on Labor, Health and Human Services, Education, and Related Agencies
The Honorable Josh Hawley, Committee on Homeland Security and Governmental Affairs
Subcommittee on Disaster Management, District of Columbia, and Census
The Honorable Andy Kim, Ranking Member, Committee on Homeland Security and
Governmental Affairs Subcommittee on Disaster Management, District of Columbia, and
Census
The Honorable Robert Aderholt, Chair, House Committee on Appropriations Subcommittee on
Labor, Health and Human Services, Education, and Related Agencies
The Honorable Eric Burlison, Chair, Committee on Oversight and Government Reform
Subcommittee on Economic Growth, Energy Policy and Regulatory Affairs
The Honorable Maxwell Frost, Ranking Member, Committee on Oversight and Government
Reform Subcommittee on Economic Growth, Energy Policy and Regulatory Affairs
The Honorable Rick Allen, Chair, Committee on Education and the Workforce Subcommittee on
Health, Employment, Labor and Pensions
The Honorable Mark DeSaulnier, Ranking Member, Committee on Education and the Workforce
Subcommittee on Health, Employment, Labor and Pensions

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Heartland Visas: A Policy Primer /heartland-visas-a-policy-primer/ Wed, 15 May 2024 08:30:52 +0000 /?p=22956 Download the Policy Brief by John Lettieri, Connor O'Brien, and Adam Ozimek Download Summary The United States has benefited tremendously from skilled immigration. Newcomers have long accounted for outsized shares of new startups and patents and, by one estimate, were responsible for 30 to 50 percent of all [...]

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Download the Policy Brief

by John Lettieri, Connor O’Brien, and Adam Ozimek

Summary

The United States has benefited tremendously from skilled immigration. Newcomers have long accounted for outsized shares of new startups and patents and, by one estimate, were responsible for 30 to 50 percent of all productivity growth between 1990 and 2010. Yet the enormous benefits of skilled immigration are not reaching many communities across the heartland. Just as America's innovation ecosystem has tightly concentrated in a handful of places–nearly 70 percent of patents come from just 100 U.S. counties–skilled immigrants are tightly clustered in coastal "superstar" metros.

But history need not be destiny. Instead, talented workers and entrepreneurs could be key catalysts for reversing the devastating effects of deindustrialization in regions across the country, if such communities had a new tool to recruit them.

The Heartland Visa is an innovative proposal that gives communities the choice to opt-in to a new immigration pathway for highly skilled workers, entrepreneurs, and innovators. Prioritizing higher-earning applicants and those with local ties, the Heartland Visa would serve as a key component of economic revitalization in participating places.

In exchange for living in a Heartland Visa community, workers with sufficient earnings will gain permanent residency, cutting through burdensome red tape and bureaucracy embedded in the status quo immigration system. Building on our 2019 concept paper, this report details how we can make Heartland Visas a reality on the ground.

Key Features of a Heartland Visa

  • Dual opt-in: Counties experiencing economic decline or stagnation can decide to opt in or out of the program, while applicants select their own destinations.
  • Prioritize applicants with high-wage job offers: Applicants are allocated quarterly to those with the highest job offers or earnings histories, adjusted for age and local ties.
  • Pathway to permanent residency: Heartland Visa holders, in exchange for living in a participating community for six years, should have an expedited path to a green card.
  • Scale: Heartland Visas should be large enough to fundamentally change the economic trajectory of participating communities for the better.

Characteristics of proposed eligible places

Under eligibility criteria laid out in the Heartland Visa report, eligible communities have experienced substantial population loss in recent decades, including an 11 percent decline in the number of prime age 25-54 adults between 2010 and 2020. Eligible places have a 16 percent combined poverty rate (vs. 12 percent for the ineligible) and median household incomes $16,000 lower than ineligible counties.

Critically, just 4.4 percent of the foreign-born population with a BA or higher live in eligible places, compared to 20 percent of the population overall. Access to a program like a Heartland Visa would accelerate growth and investment in participating counties and significantly improve opportunities for existing residents.

Find your county

Explore whether your community would qualify under our proposed criteria for Heartland Visa participation:

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Opportunity Zones are helping to solve America’s housing crisis /wp-content/uploads/2024/03/91PORN-Opportunity-Zones-Housing-One-Pager.pdf Fri, 29 Mar 2024 17:48:43 +0000 /?p=22875 The post Opportunity Zones are helping to solve America’s housing crisis appeared first on Economic Innovation Group.

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91PORN-led Coalition Urges NY Gov. Hochul to Sign Noncompete Reform Bill /2023-ny-noncompetes-letter/ Thu, 30 Nov 2023 12:00:34 +0000 /?p=22580 91PORN Media Contact: Amelia Sandhovel | 𾱲.ǰ Washington, DC – The Economic Innovation Group (91PORN) led a coalition of 13 organizations in sending a letter to New York Governor Kathy Hochul today urging her to sign legislation to ban the use of noncompete agreements in the Empire State. “We write to respectfully urge you to [...]

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91PORN Media Contact: Amelia Sandhovel | 𾱲.ǰ

Washington, DC – The Economic Innovation Group (91PORN) led a coalition of 13 organizations in sending a letter to New York Governor Kathy Hochul today urging her to sign legislation to ban the use of noncompete agreements in the Empire State.

“We write to respectfully urge you to sign S.3100A into law, which would help unleash the full potential of New York’s economy and workforce by banning the use of noncompete agreements. This legislation is among the most important pieces of pro-worker, pro-growth legislation in New York’s history and comes at a time when the state’s economy is in urgent need of a boost,” the signatories wrote

The New York State Legislature approved bill on June 20, 2023, sending it to Governor Hochul for her signature. To date, the governor has taken no action and made no public comments about her intention to sign the bill into law. The letter notes that New York’s economy is facing massive outmigration, depressed levels of entrepreneurship, and more than openings. of employers in New York subject employees to noncompete agreements. A growing body of empirical evidence suggests that restricting the use of noncompetes is a highly effective way to boost wages, job mobility, innovation, and new business formation.

New York’s legislation is part of a flurry of action at the state and federal levels to curb the use of noncompetes, including a proposed rule by the FTC, the bipartisan in Congress, and a recently enacted law that bans noncompetes statewide. In total, at least 20 states have enacted restrictions on noncompetes in recent years.

The letter was signed by a diverse coalition of employers, experts, and institutions, including the Center for American Entrepreneurship; Economic Innovation Group; Economic Policy Institute; Engine; Dr. Matt Marx, SC Johnson College of Business, Cornell University; Niskanen Center; Open Markets Institute; Orly Lobel, Warren Distinguished Professor of Law and Director, Center for Employment & Labor Policy at University of San Diego; Right to Start; R Street Institute; Steam Logistics; Veeva Systems Inc.; and Zachary Graves, Executive Director, Foundation for American Innovation.

Read the full letter here.

About the Economic Innovation Group (91PORN)

The Economic Innovation Group (91PORN) is a bipartisan public policy organization dedicated to forging a more dynamic and inclusive American economy. Headquartered in Washington, DC, 91PORN produces nationally-recognized research and works with policymakers to develop ideas that empower workers, entrepreneurs, and communities.

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Noncompete Clauses: A Policymaker’s Guide through the Key Questions and Evidence /noncompetes-research-brief/ Tue, 31 Oct 2023 12:36:53 +0000 /?p=22523 Download the Research Brief by Evan Starr Download Introduction In the wake of growing anecdotal and empirical evidence, the centuries-old debate over how to regulate noncompete clauses has hastened towards a contentious resolution: ban them. These post-employment restrictions, known simply as “noncompetes,” prohibit departing workers from starting or [...]

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Download the Research Brief

by Evan Starr

Introduction

In the wake of growing anecdotal and empirical evidence, the centuries-old debate over how to regulate noncompete clauses has hastened towards a contentious resolution: ban them.

These post-employment restrictions, known simply as “noncompetes,” prohibit departing workers from starting or joining a competing firm for a period of time and often in a circumscribed geographic area. Historically, most U.S. states have enforced noncompetes on a case-by-case basis, seeking to balance the harms to workers and society that stem from direct restraints on competition with the firm’s need to protect its legitimate business interests.

The status quo, however, is on the verge of significant change. In 2023, the Federal Trade Commission proposed to ban noncompetes nationwide; for the first time in over a century, a state (Minnesota) has passed a ban on noncompetes, while another state’s proposed ban awaits the governor’s signature (New York); and the general counsel for the National Labor Relations Board declared that noncompetes violate the National Labor Relations Act. This recent policy action follows the many state policies passed since 2015 which have banned noncompetes for physicians, tech workers, and workers earning below specified thresholds.

Why did this historic debate over noncompetes move so abruptly towards banning them? Alongside increased media scrutiny and hard-to-stomach anecdotes of noncompetes unnecessarily derailing the lives of workers, new empirical evidence on the prevalence and harms of noncompetes and their enforceability has tilted the scales.

Table 1: Summary of empirical responses to common noncompetes policy questions

This new evidence has not gone unchallenged, however. In particular, the proposed FTC rule to ban noncompetes has given interested parties the opportunity to present their best justifications for why noncompetes are needed and to critique the evidentiary basis for the FTC’s proposed rule.

In this brief, I will review the core questions that commentators themselves submitted to the FTC in response to the proposed rule, and which presently challenge policymakers across the US. I’ll do so using the language and objections of commentators themselves. I will then review what the recent empirical literature on noncompetes has to say regarding each question. I focus on the following questions:

  1. Is the status quo enforcement regime sufficient?
  2. Do noncompetes help or hurt workers?
  3. Do noncompetes boost or stifle innovation?
  4. Do noncompetes help or hurt small businesses?
  5. Does banning noncompetes for executives makes sense?
  6. Do consumers benefit or suffer because of noncompetes?

By taking a question-based approach and relying on the latest empirical evidence for answers, my hope is that this guide can be useful to policymakers and readers alike, as they face these questions among their constituents.

1. Is the status quo enforcement regime sufficient?

Historically, states have determined the regulatory policy towards noncompete clauses. Except for California, Oklahoma, and North Dakota (and, as of July 2023, Minnesota), every state has opted for a regulatory approach that enforces reasonable noncompetes. While the scope of what is reasonable differs from state to state, courts have generally found a noncompete reasonable when it does not unduly harm the worker or society, and when it is no broader than necessary to protect a firm’s legitimate interests.

Several commentators have emphasized the idea that this status quo, case-by-case reasonableness approach taken by most U.S. states already addresses potential anti-competitive concerns over noncompetes. For example, Weibust and Gerson (2023) argue that because noncompetes are required to be narrowly tailored to be enforceable and because they must protect a legitimate business interests (e.g., trade secrets), the use of noncompetes among low-wage workers or workers without any business justification are outliers.[1] Former FTC Commissioner Christine Wilson similarly questioned a change to the status quo in her dissent to the FTC’s proposed noncompete ban,[2] writing (p.3), “I am dubious that three unelected technocrats have somehow hit upon the right way to think about non-competes, and that all the preceding legal minds to examine this issue have gotten it wrong” (emphasis added).

A growing body of empirical evidence suggests that we should be skeptical that status quo state enforcement policies sufficiently address the potential harms of noncompetes, or that noncompetes are associated with the many benefits that advocates suggest. In particular, the evidence suggests that (a) firms are often unscrupulous in their use of noncompetes, (b) that unenforceable noncompetes are common, that (c) noncompetes deter employees from taking jobs at competitors even when they are unenforceable, and that (d) firms do not value the ability to enforce noncompetes for most workers.

Harlan Blake, in his 1960 review of noncompetes,[3] emphasized the potential proliferation of unenforceable noncompetes and their chilling effect on behavior when he wrote (p.682-683):

“For every covenant that finds its way to court, there are thousands which exercise an in terrorem effect on employees who respect their contractual obligations and on competitors who fear legal complications if they employ a covenantor, or who are anxious to maintain gentlemanly relations with their competitors. Thus, the mobility of untold numbers of employees is restricted by the intimidation of restrictions whose severity no court would sanction.” (emphasis added)

Unfortunately, stories of noncompetes that no court would sanction are common, like the temporarily employed Amazon packer making $13,[4] or the volunteer at a non-profit that focuses on exercise among young girls.[5] And there are also stories of firms who are unwilling to hire a junior worker, even when they know the noncompete is likely unenforceable.[6]

Surveys of workers and firms suggest that these stories are not anomalies. Colvin and Shierholz (2017)[7] found in a national survey of 634 private-sector firms in 2017 that 31.8 percent of them reported using noncompetes with all of their employees, while 49.4 percent said they used them for some employees. Balasubramanian et al. (2023),[8] in an independent survey in 2017 of approximately 1,500 U.S. firms, similarly found that 29.5 percent of firms used noncompetes with all their employees, while 66.5 percent used them with at least some employees.[9] Lastly, in a 2022 survey of 446 private U.S. companies who are included of the Society of Human Resources database (SHRM),[10] the U.S. Government Accountability Office found that 55 percent of firms use noncompetes with some workers. Furthermore, the survey reveals that among employers who use noncompetes and have hourly workers, again 55 percent cover all of their hourly workers with noncompetes.[11] These statistics reveal that, contrary to what pro-noncompete advocates argue,[12] for many firms the choice to use a noncompete is not tailored to individual job duties, the types of information a worker might have access to, or compensation; rather they are fixed firm policies that cover every worker. The indiscriminate adoption of noncompetes is most likely how we find examples of unpaid interns[13] and janitors with noncompetes.[14] It is likely why, based on a 2014 nationally representative survey, the typical worker with a noncompete is paid by the hour, making at the median approximately $14 per hour.[15]

While courts are unlikely to sanction many of these noncompetes, it is perhaps more concerning that firms are similarly likely to use noncompetes for all workers regardless of whether they are enforceable. Colvin and Shierholz (2019) find, for example, that 29.3 percent of firms based in California, where noncompetes have been unenforceable since 1872, still use them for all workers. In fact, even though some studies of high-skilled jobs find noncompetes are more prevalent in states that would enforce them versus states that would not,[16] nearly every nationally representative study of noncompete use finds that noncompetes are found in approximately similar levels in states that will and will not enforce them, including studies of firms,[17] employees,[18] and in government-collected data.[19]

There are many potential reasons that firms use unenforceable noncompetes. A favorable view is that firms use unenforceable noncompetes just in case the policy might change. Alternatively, the firm might seek to invoke another state’s law within the contract to circumvent a state’s laws.[20] A more unfavorable view is that firms are deploying unenforceable noncompetes in the hopes that workers and competitors abide by them. Catherine Fisk expressed this view in her 2001 article,[21] writing (p. 782-3):

“In California, covenants not to compete have been unenforceable against employees since 1872. Employers have nevertheless sought to restrict their employees from working for competitors … presumably counting on the in terrorem value of the contract when the employee does not know that the contract is unenforceable.”

Subsequent research has bolstered the idea that noncompetes exhibit an in terrorem effect on workers. Using nationally representative data, Starr, Prescott, and Bishara (2020)[22] find, for example, that noncompetes are associated with reduced employee mobility, and are associated with redirections in worker search and recruitment behavior from competitors to noncompetitors, even when unenforceable. Perhaps most directly, they find that workers cite noncompetes as a factor in turning down a job offer from a competitor at similar rates in states that do versus do not enforce them.

In a follow-up study, Prescott and Starr (2022) show that workers tend to believe their noncompetes are enforceable, even when they are not, and that their beliefs about the law—rather than the actual law—matter to their actions.[23] They also find evidence that, rather than passively using unenforceable noncompetes, firms actively try to keep workers misinformed when their noncompetes are unenforceable. Specifically, they find that firms in states that do not enforce noncompetes are twice as likely to remind workers about the terms of their noncompete after they get a job offer from a competitor. Thus the information asymmetries around the actual enforceability of a noncompete advantage employers and disadvantage workers. Finally, this study uses an information experiment to inform workers of the law. Doing so spurs workers with unenforceable noncompetes to be more open to opportunities with competitors, but even among those who know their noncompete is unenforceable, noncompetes still play a factor in their choice to leave because they fear a potential lawsuit or feel moral or reputational concerns from violating the contract.

While these studies emphasize the effects of noncompetes that are unenforceable given the state’s pre-existing non-enforcement policy, their findings also apply to noncompetes in states where they are potentially enforceable. That is, even when noncompetes are potentially enforceable but a court deems them unenforceable, firms can and do continue using them. For example, in the FTC’s case against Prudential Security—in which Prudential required security guards to sign a 100-mile noncompete with a $100,000 damages clause if the individual violated the noncompete—a 2019 Michigan court found the noncompete unreasonable and unenforceable. After the ruling, however, Prudential kept using the same noncompete among the security guards.[24] A similar case involving logistics company Total Quality Logistics (TQL) reveals the same pattern. An attorney in a recent case noted that TQL has been using the exact same noncompete courts have previously held to be overbroad.[25]

Taken together, this body of research bolsters the longstanding criticisms of Blake (1960) and Fisk (2001) of the status quo enforcement regime in the United States. This is not to say that the courts and state statutes or policies have no effect—they do and can, as I will discuss later. But the current status quo does little to encourage firms to be judicious in their use of noncompetes; rather, because of the indiscriminate adoption of noncompetes, many if not most noncompetes are likely unenforceable, and unenforceable noncompetes still chill worker mobility.

Given the chilling effect of unenforceable noncompetes, it is natural to wonder to what extent firms value the ability to enforce their noncompetes in court. Indeed, in the event that a worker does violate the noncompete and seeks to join a competitor, it is court enforceability of the noncompete that actually prevents the worker from joining a competitor, and thus precludes the potential disclosure of confidential information. For this reason alone, many proponents of noncompetes think they should be enforceable—to give firms incentives to develop and share confidential information in the first place.[26] Nevertheless, a recent study casts doubt on the idea that firms really value the ability to enforce noncompetes for most workers, especially in light of alternative tools they already have to protect those same interests.

Hiraiwa, Lipsitz and Starr (2023) examine whether firms are willing to pay to have the option to enforce a worker’s noncompete,[27] potentially to protect a trade secret or some other valuable information. The study examines a Washington state policy enacted in 2020 that retroactively banned noncompetes for workers earning under $100k per year, a threshold that is tied to inflation and covers approximately 80 percent of workers in Washington. The basic idea in the study is that, before 2020, a worker making $99k could potentially have their noncompete enforced, subject to a typical reasonableness test. In 2020 and after, however, the likelihood of enforcement for a worker making $99k was zero—unless the firm gave the worker a small raise to get to the earnings threshold, which they could do with an end-of-year bonus. So, if the firm valued the ability to potentially enforce the noncompetes of workers earning just below the threshold, they could give those workers a small raise to get them to or just above the threshold. The resulting empirical prediction is that we should observe more workers earning just above the threshold after 2020 relative to before 2020. However, Hiraiwa et al. (2023), using data covering the near universe of workers in Washington, find no evidence that firms are giving workers raises to get to or just above the threshold, including in industries where arguments about the efficiency of noncompetes are the strongest, such as professional and technical services, information, or manufacturing. A survey of Washington-based attorneys reveals that the most common reasons for not giving just-below-threshold workers small raises was that firms didn’t generally have to go to court to enforce them, and that firms had other tools to protect their interests.

The broad conclusion of Hiraiwa et al. (2023) is that, for workers at the 80th percentile of the earnings distribution, noncompetes are either inefficient or the actual enforceability of the noncompete does not increase productivity. They are able to draw this conclusion because, if the enforceability of noncompetes created value for the company, they should be willing to pay for it—yet companies do not appear to pay for it for workers at the 80th percentile. It may be that firms are willing to pay for the ability to enforce noncompetes at some higher threshold, but a similar study with a higher earnings threshold would be required to test this possibility.

To summarize: The status quo noncompete enforcement system in the United States does not dissuade firms from systematically using noncompetes with workers that no court would sanction. Many, if not most, noncompetes operate outside the legal system, deterring workers from joining firms in their chosen industry. And even when a given noncompete is determined to be unenforceable, firms can and do continue using them. Moreover, firms themselves have revealed that they are not willing to pay for the ability to enforce noncompetes in court for most workers.

2. Do noncompetes help or hurt workers?

Whether workers are better or worse off under noncompetes is a key point of debate. Those who believe that labor markets are competitive presume that workers would never agree to restrictions on their post-employment freedoms unless they were made better off under the noncompete—perhaps because they received additional training, access to valuable information, or higher wages.[28] Others anticipate that most workers would likely just sign noncompetes when asked, and then be foreclosed from taking better jobs in the future such that in the aggregate they would be worse off as they are unable to take advantage of industry-competition for their labor and unable to start a competitor.

Many commentators highlight some of the seemingly conflicting evidence in the literature regarding this question. To briefly summarize this evidence, note that every nationally representative study of workers finds that workers with noncompetes earn higher wages than workers without noncompetes.[29] And yet, at the same time, studies of changes in state noncompete policies find that when states enforce noncompetes more vigorously, wages fall.[30] Given the competing evidence, it is thus not surprising that commentators suggest that the scientific evidence has been “muddled” and the policymakers have been accused of “cherry-picking” the evidence.[31]

The confusion of the commentators is understandable but misplaced. In this section I’ll review this evidence and try to clear up the confusion.

It is true that if you compare workers with noncompetes to workers without noncompetes, workers with noncompetes will have higher earnings, including if workers were notified about the noncompete before they accept the job offer.[32] This does not mean that noncompetes, or even “early notice” noncompetes, cause workers to have higher earnings. This interpretation would be confusing correlation for causation. There are many reasons why workers with noncompetes may earn more than workers without noncompetes that have nothing to do with the noncompete. For example, noncompetes are more common for more educated workers, and more educated workers tend to have higher earnings. So it’s not surprising that noncompetes are associated with higher earnings, but this may just have to do with the types of workers that agree to noncompetes or the types of firms that deploy them. For example, perhaps better employers pay more, are more transparent with their workers, and are more likely to use noncompetes. This might explain why early notice noncompetes are associated with higher earnings, but it has little to do with the noncompete and instead with employer quality.

Another example illustrates the point: People who go to the hospital are sicker than those who do not go to the hospital. This does not mean that hospitals make people sick. To know whether hospitals make people sicker you would want to take people who chose to go the hospital and see what would have happened to them if they had not gone to the hospital. Similarly, to determine whether noncompetes cause wages to rise or not, we need to figure out what would have happened to the wages of those who have noncompetes if they did not have noncompetes.[33] That can be a difficult task because the use of noncompetes is not random.

The interpretative problem here is not with the studies: each of them acknowledges that these relationships are correlations and that we should interpret them accordingly. Rather, the problem is with the commentators who have not faithfully reported on the interpretations on the findings of the studies. The issue is particularly important because the commentators themselves ignore the subsequent evidence in the papers that suggest that a positive noncompete wage relationship is unlikely. For example, both Rothstein and Starr (2022)[34] and Starr et al. (2021)[35] find evidence that workers are unlikely to either negotiate over noncompetes or for other benefits in exchange for signing. Moreover, if we thought that enforcing noncompetes is likely to lead to better outcomes for workers, we would expect noncompetes to be associated with relatively higher wages where they are enforceable versus where they are not. But this is the opposite of the results in Rothstein and Starr (2022) and Starr et al. (2021). For example, Rothstein and Starr (2022) find that the noncompete-wage differential in states that might enforce noncompetes is 6 percent lower than in states that will not enforce them. The conclusion of both of these studies is that something outside the noncompete is likely causing the positive noncompete-wage differential, and that the negative earnings differentials where noncompetes are more enforceable suggests that noncompetes are potentially, but not definitively, more likely to be associated with earnings losses.

A recent study by Balasubramanian et al. (2023)[36] sheds some important light on this tension. The authors show that firms tend to bundle restrictive covenants together, such that firms generally tend to use either no restrictions, only a nondisclosure agreement, or (at least) four restrictive covenants together (e.g., a noncompete, client/coworker nonsolicitation, and nondisclosure agreement). As in prior research, Balasubramanian et al. (2023) find that workers with noncompetes earn more than workers without noncompetes. But the authors decompose those two buckets further into those with all four restrictions versus those with none and those with only a non-disclosure agreement. The findings reveal that workers with all restrictions earn more than those with no restrictions but earn 3-7 percent less than those with only a non-disclosure agreement. The reason for the positive overall estimate on noncompetes versus no noncompete is that those with no restrictions cover a larger share of the workforce. The question then is which of these comparisons is more reliable? The authors posit and find evidence suggesting that a comparison of workers with all four restrictions to workers with only an NDA is a more reliable comparison because it nets out selection into the use of any restrictions. They further find that firms that use all four of these restrictions with all their workers are less likely to be concerned about turnover and are less likely to give raises relative to firms that use only NDAs with all of their workers. This suggests a natural reason why average wages would be lower under noncompetes and the other restrictions: workers with all restrictions stay longer and don’t receive wage increases.[37]

Overall, Balasubramanian et al. (2023) makes two very important contributions. First, the study clarifies that prior results of nationally representative samples finding positive wage relationships with noncompetes are likely driven by selection and should not be interpreted causally. Rather, a negative average wage effect is more likely. Second, it highlights that it is difficult to discern from any observational studies what the effect of a noncompete is, separate from the other simultaneously adopted restrictions. It’s possible and likely reasonable that the noncompete is driving the earnings losses because it is the broadest restriction and the restriction that most directly interferes with labor market competition. It’s also possible that it’s the combination of the restrictions together that drive the earnings losses.[38]

So, what have researchers done to try to say something more definitive about the causal effects of noncompetes on wages? In addition to examining how the noncompete-wage relationship changes where noncompetes are more versus less enforceable (as discussed above), they have turned to natural experiments related to state noncompete policies. In light of the potential use of unenforceable noncompetes (as noted above), these research designs do not ask how actual noncompetes affect workers or firms; rather they ask how wages within the state change when states ban, limit, or more vigorously enforce noncompetes.

Studying state policies implies that researchers are limited to policy variation that exists. Accordingly, there is no equivalent to a country-wide ban on noncompetes akin to the one the FTC has proposed; however, there are many such bans that have operated at a smaller scale, several changes to the enforceability of noncompetes, and of course long-standing differences across states and occupations (e.g., noncompetes have been prohibited among lawyers since the 1960s, a fact that is exploited in Starr et al. (2018)).[39] In 2008, for example, Oregon banned noncompete agreements for low-wage workers, while in 2015, Hawaii banned noncompetes (alongside agreements not to solicit coworkers) for high-tech workers. Researchers examining these bans, as well as those studying a multitude of smaller changes to state noncompete laws, come to the same conclusion: banning noncompetes increases wages by 3-4 percent, both for low-wage workers and high-tech workers, and increases their mobility 11-17 percent.[40]

Commentators suggest several other criticisms of this research. For example they suggest that firms will forego training without noncompetes and that workers’ wages will suffer in the long run as a result.[41] While evidence is mixed on whether noncompetes are associated with more training, the evidence also suggests that workers do not benefit on net from that training.[42] A third study also suggests that one reason we see more training in states where noncompetes are enforceable is because noncompetes prevent firms from hiring experienced workers in their industry, thus causing them to hire outsiders or newcomers and train them up. See Starr, Evan, Martin Ganco, and Benjamin A. Campbell. “Strategic human capital management in the context of cross‐industry and within‐industry mobility frictions.” Strategic Management Journal 39, no. 8 (2018): 2226-2254. For example, Balasubramanian et al. (2022) study the long-run effects of simply starting a job in a state that enforces versus does not enforce noncompetes. If training benefits these workers, then they should at some point experience greater earnings—but this study finds negative earnings effects, including lower within-individual earnings growth, that lasts over at least 8 years.

Finally, it is important to reiterate that these estimates likely underestimate the extent to which banning noncompetes will increase wages. This is because firms still use even unenforceable noncompetes, and—as discussed above—unenforceable noncompetes still chill worker mobility.[43]

To summarize: Commentators suggesting that noncompetes cause higher wages are largely misinterpreting cross-worker correlations. Rather, recent economic evidence suggests that the positive correlations between noncompetes and wages is likely spurious and that noncompetes (potentially alongside non-solicits and NDAs) likely reduce earnings by increasing retention and shielding firms from labor market competition. These findings align with studies of state policy shocks which cover state-level bans on noncompetes for low-wage workers, high-tech workers, and a variety of other changes to state noncompete laws. There is some mixed evidence that noncompetes are associated with more training, but the evidence also suggests that whatever additional training workers receive does not lead to greater worker earnings, but rather cumulative, long-term wage losses.

3. Do noncompetes boost or stifle innovation?

Many commentators highlight why noncompetes are potentially valuable for firms: they give firms incentives to develop and share valuable information with workers that may make those workers more productive, without fear that the workers will take such information to a competitor.[44] This is a classic argument, and it’s the same reason policymakers have developed various intellectual property protections including patents, trade secret law, copyrights, and other contractual protections like non-disclosure and non-solicitation agreements. Policymakers want to provide incentives for firms or individuals to develop highly valuable innovations.

But, despite the appeal of this logic and some significant critiques and mixed results of early research on the relationship between noncompetes and innovation,[45] the best evidence consistently points in the opposite direction. The story that has emerged from this evidence is that, despite the fact that noncompete enforceability modestly spurs firm investment, the overall effect of noncompete enforceability is to reduce innovation. The mechanisms underlying this reduction appear to come from several channels: reduced mobility, entrepreneurship, information flows across firms,[46] employee effort, and a misallocation of inventive talent.

The best evidence on innovation comes from several recent studies. The first is a study by Johnson, Lipsitz, and Pei (2023), which uses the variation in the enforceability of noncompetes stemming from dozens of policy changes between the 1990s and mid-2010s to assess directly how noncompete enforceability influences innovation.[47] Their findings suggest that an average-sized increase in NCA enforceability reduces patenting by 16-19 percent over the ensuing 10 years, including reductions in “break-through” inventions. Moreover, they find that this decrease does not simply reflect a strategic substitution towards trade secrecy or that it simply shifts innovation activity to other states. The authors replicate a variety of other results to bolster their findings—that enforcing noncompetes reduces the churn of technical workers as well as the rate of new business formation, while increasing investment in “intangible” investments by 8.1 percent (but with no effect on capital investment).[48] One way to interpret these results is that innovation is the result of many inputs—including firm investment, individual capital, individual effort, team capital, etc.—such that, while firm investment rises, the overall effect of noncompete enforceability is a reduction in innovation.

Other recent studies using similar variation in the enforceability of noncompetes document similar findings. For example, Reinmuth and Rockall (2023) find that an average increase in the enforceability of noncompetes reduces patenting by 11.8 percent.[49] In He (2021), the author finds that patents filed after an increase in noncompete enforceability are less valuable, suggesting that innovators are less motivated after an increase in enforceability. And Mueller (2022) finds that inventors are 67 percent more likely to change industries following an increase to the enforceability of noncompetes, and that noncompete-induced industry-movers are 30 percent less productive based on innovative output.[50] In contrast, inventors who cross industries voluntarily (e.g., not induced by the noncompete) are 16 percent more productive. Mueller (2022) concludes that innovation losses result from the misallocation of inventive labor.

Finally, given the multitude of mechanisms by which noncompetes influence innovation, it is helpful to consider a model which tries to quantify each such mechanism, which Baslandze (2022) does.[51] She uses data on patents and firm dynamics to study the relationship between noncompetes, innovation, firm growth, and welfare. She builds and estimates a general equilibrium endogenous growth model in which she allows for noncompetes to be a direct entry restriction, to increase incentives for firms to innovate, to reduce information flows, and to reduce competition by affecting the composition of firms. Her paper quantitatively evaluates all of these channels and concludes that it is both “growth- and welfare-enhancing to abolish non-compete enforcement.”

To summarize: Even though noncompete enforceability does give firms incentives to invest, the net effect is a reduction in innovation and the misallocation of inventive talent.

4. Do noncompetes help or hurt small businesses?

Many commentators are concerned about how a ban on noncompetes will affect small businesses.[52] The main concern is that small businesses developing valuable information can be especially susceptible to a key employee leaving with that information, potentially “devastating” the business.[53]

This concern is understandable, but the empirical evidence suggests instead that noncompetes hurt small businesses and favor large incumbents. Not only do firms have other tools to protect their interests like non-solicitation and non-disclosure agreements, but several studies find that when states are more likely to enforce noncompetes, new firms are less likely to form,[54] and that new firms struggle to hire and grow. For example, Johnson, Lipsitz, and Pei (2023) show that enforcing noncompetes not only reduces new firm entry but also reduces the job creation rate. They further show that increases in noncompete enforceability reduce innovation among startups. Kang and Fleming (2020), examining the 1996 Florida statute that many regard as the most vigorous noncompete enforceability policy in the United States,[55] find that the Florida law disproportionately benefited large firms vs. small firms by increasing the share of establishment entry and employment coming from large firms.

A recent survey of 312 small business owners bolsters the core ideas that noncompetes both hinder the entry and growth of small businesses:[56] Forty-four percent of small business owners report that they have been subject to a noncompete that prevented them from starting or expanding their own businesses, while 35 percent report that they have been prevented from hiring an employee because of a noncompete. Only 14 percent of small business owners oppose or strongly oppose the FTC’s proposed rule, while 59 percent of small business owners approve. While this sample may not be representative of all small business owners, it provides specific evidence that underlies the core mechanisms identified in the empirical literature.

To summarize: Rather than hurt small businesses, the evidence suggests that noncompetes favor incumbents and make it more difficult for new firms to start, grow, and innovate.

5. Does banning noncompetes for executives makes sense?

Many commentators express concern about whether noncompetes are reasonable for executives[57] The concerns are understandable. Executives (and other knowledge workers) know confidential information that might bestow a significant advantage to a competitor, should they be allowed to join one and should they share what they know.

However, there are several reasons why a ban on noncompetes even for executives can makes sense, and indeed some recent theoretical and empirical work comes to this conclusion. Those justifications derive not from assumptions about disparities in bargaining power or concerns about the harms that noncompetes cause to executives, but rather that executive noncompetes can cause significant harm to third-parties, and that alternative, less restrictive protection tools may sufficiently protect firm interests in the absence of noncompetes. I review that evidence in this section.

The first reason noncompetes might not be necessary for executives is that noncompetes are just one of many protection tools available, including non-disclosure agreements, non-solicitation agreements, trade secret law, and others. Noncompetes offer somewhat more protection than these mechanisms because they operate by precluding a move in the first place, as opposed to acting as a tool to recoup damages once a secret has been misappropriated or a client has been solicited. Without noncompetes, commentators are concerned that trade secrets might be leaked, and that costly trade secret litigation could rise.[58] While it is also possible that trade secret litigation might actually fall when noncompetes are banned (e.g., if the inability to enforce a noncompete reduces willingness to file a trade secret claim), it is nevertheless worth emphasizing three things. First, there are new tools to protect trade secrets directly that do not rely on noncompetes at all; these include the possibility of directly insuring trade secrets or partnering with companies willing to finance trade secret litigation.[59] Second, there will not be a one-to-one change in noncompete to trade-secret cases if noncompetes are banned. Workers who abide by their other restrictive covenants won’t face legal disputes. These are workers who would not give any other firm an unfair advantage but are nevertheless prohibited from competing under the status quo. Third, among those workers who might bring some information over, a firm would likely only bring a case if the information shared was valuable to the competitor in the sense that it resulted in competitive harm to the initial firm. As a result, it’s unlikely that trade secret or NDA litigation would rise all that much (if at all), if noncompetes are banned, especially if workers adhere to their less-restrictive agreements.

Nevertheless, firms have figured out how to protect themselves without the ability to enforce executive noncompetes. Sanga (2018) shows how California firms have worked around the lack of enforceability of executive noncompetes by tying the post-employment payout period to the prohibition period in the noncompete.[60]

Aside from the fact that firms have other tools to protect their valuable information or goodwill, the most common reason for considering executives in a ban on noncompetes is not because the executives will be worse off,[61] but rather that other parties will be harmed, including other firms, workers, or consumers.

For example, one natural reason to include executives in a noncompete ban is based on the preceding discussion of Baslandze (2022), which finds such a ban is optimal based on theory and empirical work related to innovation and entrepreneurship.

In addition, a recent paper by Liyan Shi (2023) studies the executive labor market and suggests that the optimal policy—for executives—is close to a ban.[62] It is natural to wonder how this might be possible when two sophisticated parties can negotiate and come to terms that are mutually beneficial, and when noncompetes do encourage firm investment. The answer is that, like in Mueller (2022), noncompetes can misallocate labor from their most productive use. The main idea in Shi (2023) is that because all parties are not at the table when negotiating a noncompete, the terms of the noncompete maximize the bilateral surplus between the executive and the focal firm, which results in excessive terms that are designed to extract rents from third parties who were not at the table. In the case of Shi (2023), the other parties are the other employers who might value the executive more than the initial employer. This results in socially costly labor misallocation, where executives are displaced from their most productive uses. Shi (2023) builds and calibrates a model of the executive labor market, using data from real executive contracts. She incorporates estimates from how firm investment relates to noncompete policies as well as how executive separations are affected. She finds “the optimal policy to be quantitatively close to a ban.”

Lipsitz and Tremblay (2021) emphasize a similar point: Consumers are also not at the table when executives bargain over these agreements. They document that noncompete enforceability increases product market concentration and posit that perhaps executives agree to noncompetes to limit competition and extract rents for themselves—as opposed to consumers receiving those rents in the form of lower prices. That is, executives can be seen as potential competitors who might increase competition down the road if they were to start a new firm, which might reduce future prices for consumers. However, if executives (and others such workers who might start a new firm) understand that increased future competition will reduce rents available in the industry, then they might rationally bargain over the noncompete to extract rents for themselves as opposed to starting a new firm in the future and delivering those rents to consumers in the form of lower prices.

Another form of third-party harm might occur when firms use noncompetes in parallel with high frequency. This idea is not specific to executives but arises with executives because they are most likely to have noncompetes. What do industry dynamics look like if most workers in the industry have a noncompete? Who can firms hire? Who will start a new firm? In such an industry, the whole market might be less dynamic. Indeed, those are the findings of Starr, Frake, and Agarwal (2019),[63] who find that, where enforceable noncompetes are used en masse, the whole market is slower moving and lower earning, including for workers not bound by noncompetes.

Finally, it is worth noting that banning noncompetes based on third-party harm actually has a long-standing tradition in the United States. The only occupation in the whole United States for which noncompetes are prohibited is the practice of law.[64] Rule 5.6 of the American Bar Association reads:[65]

A lawyer shall not participate in offering or making:

(a) a partnership, shareholders, operating, employment, or other similar type of agreement that restricts the right of a lawyer to practice after termination of the relationship, except an agreement concerning benefits upon retirement;

Moreover, the ABA’s comment on Model Rule 5.6 emphasizes the logic behind the rule is that noncompetes can hurt clients. The ABA writes (emphasis added) “An agreement restricting the right of lawyers to practice after leaving a firm not only limits their professional autonomy but also limits the freedom of clients to choose a lawyer.”[66] The same argument is often made for restrictions on physician noncompetes (that their noncompete-related departure would hurt patients).[67]

Thus, even though lawyers carry with them valuable clients, and are highly sophisticated and savvy, noncompetes are prohibited out of concern for how they can affect a third party.

To summarize: There are several reasons why even executives or high-skilled, knowledge workers might be included by a noncompete ban, even when these agents are fully rational and sophisticated and when noncompetes spur investment. These include technological spillovers, labor misallocation, rent extraction from consumers, externalities from parallel action, and other tools the firm already has to protect their interests.

6. Do consumers benefit or suffer from noncompetes?

Several commentators have argued that if noncompetes are banned then prices will rise for consumers; some rely on the assumption that if wages rise then firms will pass on the wage increases to consumers.[68] Others suggest that banning noncompetes will lead to an increase in employee misconduct, pointing to a study by Gurun et al. (2021) in which a firm entering into the “Protocol for Broker Recruiting”—which “allowed an adviser to take client lists and contact information to their new employer without fear of legal action”[69]—is found to be associated with an increase in misconduct and fees.[70]

In this section, I revisit these arguments and the evidence. In general, harms to consumers can either come from higher prices, lower quality, or reduced output. As discussed above, the research on innovation and entrepreneurship already suggests that consumers are harmed by less innovation and lower quality innovation from the enforcement of noncompetes. And the research on business dynamism suggests that enforcing noncompete agreements increases concentration,[71] in part by reducing new firm formation[72] and in part by increasing M&A activity,[73] both of which can lead to higher prices and reduced output (as we move from a more competitive market to a more oligopolistic market). Indeed, the main study on prices by Hausman and Lavetti (2021) suggests that enforcing noncompetes in the healthcare context leads to higher prices through this concentration channel.[74]

In addition, concerns that wage increases that result from allowing workers to move across firms would translate into price increases are likely misplaced. As a general rule, competition in both product and labor markets is good for consumers. By making labor and product markets more competitive and innovative, banning noncompete agreements will likely result in lower prices and greater quality and output. In a static model, the resolution of the wage-price connection is that competitive labor markets push out employment relative to monopsonistic markets, which increase supply in product markets, and thus reduce prices.[75]

Finally, as it relates to the study by Gurun et al. (2021) on the Broker Protocol, there are several important points to make. First, this study is not about noncompetes; the Broker Protocol relaxed noncompetes, nonsolicitation, and nondisclosure agreements for participating firms.[76] Second, and perhaps more importantly, commentators and the FTC failed to recognize a similar study which also examines the “broker protocol” in a broader sample, but comes to the exact opposite findings of Gurun et al. (2021).[77] This study by Clifford and Gerken (2021) finds that brokers treat clients better after their firm enters the Protocol, with the incidence of client disputes falling 20.3 percent. Clifford and Gerken also find evidence that advisors invest in acquiring costly licenses to sell new products to their customers. They see this as evidence of the advisors becoming more client-oriented, and it may also explain why fees rise in the Gurun et al. (2021) study.[78]

To summarize: The bulk of evidence suggests that consumers are likely harmed by noncompetes, whether by reduced innovation, reduced output, or by higher prices. And given the FTC’s omission of the work by Clifford and Gerken (2021), as well as some of the limitations of the work by Gurun et al. (2021), it is not unreasonable to think that consumers actually benefited from the ability of their advisors to leave for other firms in the Broker Protocol and to solicit clients to leave with them (though whether the Broker Protocol tells us anything about noncompetes separate from nondisclosure and nonsolicitation agreements is an open question).

Conclusion

The last few years have witnessed a whirlwind of policy and research activity related to the use and effects of noncompetes on U.S. labor markets. Although there are some important questions remaining,[79] by and large this research has addressed some of the fundamental questions underlying the policy debate around noncompetes. These include:

  1. We should be skeptical that the status quo enforcement approach—a case-by-case reasonableness inquiry—is sufficient for deterring firms from indiscriminately using noncompetes.
  2. Noncompetes and their enforceability most likely reduce wages for most workers, despite any increases in worker training.
  3. The enforceability of noncompetes reduces aggregate innovation, even if it creates private incentives for firms to invest on the margin.
  4. The enforceability of noncompetes hurts small businesses relative to larger incumbents.
  5. The potential for third party-harm and alternative protection tools suggest that bans on noncompetes could reasonably include executives.
  6. Consumers are likely hurt from the enforceability of noncompetes via more market concentration, lower quality product offerings, and higher prices.

Notes

  1. See, for example Gerson and Weibust (2023), available at .
  2. For commissioner Wilson’s comments, see .
  3. Blake, Harlan M. “Employee agreements not to compete.” Harvard Law Review (1960): 625-691.
  4. See .
  5. To be a volunteer for Girls on the Run International (GOTR), including in their Silicon Valley branch, you have to agree to the following noncompete: “(b) I understand that during the term of my engagement with GOTR and for a period of two (2) years after my relationship with GOTR concludes, (i) I shall not create or contribute to a program that is similar to any of GOTR’s programs or any other positive youth development program that focuses on girls…” Acquired in January 2023 through GOTR’s online volunteer application form.
  6. See , for a story about a junior reporter at Law360 who was hired by Reuters but dropped after they found out she had a noncompete. See also , which highlights a story about a worker in Washington whose earnings were below the statutory enforcement threshold but who was dropped by a new employer once they found out he had a noncompete.
  7. See .
  8. Balasubramanian, Natarajan, Evan Starr, and Shotaro Yamaguchi. “Employment Restrictions on Resource Transferability and Value Appropriation from Employees.” Available at SSRN 3814403 (2023). See .
  9. Note that these are surveys of employers. These respondents (who tend to be managers or in HR or legal) are likely to know what their firm’s policies are, but they may also have reduced incentives to tell the truth on these surveys. If these respondents are concerned that reporting that their firm uses noncompetes might have negative repercussions, then the incidence estimates are likely underestimated.
  10. Notably, SHRM submitted a comment pushing against the FTC’s proposed ban on noncompetes. See .
  11. See the full report at .
  12. See, for example, the Retail Leader Industry Association comments to the FTC, available .
  13. See .
  14. See .
  15. See Lipsitz, M. and Starr, E., 2022. Low-wage workers and the enforceability of noncompete agreements. Management Science, 68(1), pp.143-170.
  16. See Lavetti, K., Simon, C. and White, W.D., 2020. “The impacts of restricting mobility of skilled service workers: Evidence from physicians.” Journal of Human Resources, 55(3), pp.1025-1067. They find evidence that noncompetes for physicians are less common in California than other states that might enforce them. In the case of executives, several studies find that noncompetes are more common in states that enforce noncompetes relative to states that do not. For executives, see Sanga, S., 2018. “Incomplete contracts: An empirical approach.” The Journal of Law, Economics, and Organization, 34(4), pp.650-679. See also Kini, O., Williams, R. and Yin, S., 2021. “CEO noncompete agreements, job risk, and compensation.” The Review of Financial Studies, 34(10), pp.4701-4744.
  17. See Balasubramanian, Natarajan, Evan Starr, and Shotaro Yamaguchi. “Employment Restrictions on Resource Transferability and Value Appropriation from Employees.” Available at SSRN 3814403 (2023).
  18. Starr, Evan P., James J. Prescott, and Norman D. Bishara. “Noncompete agreements in the U.S. labor force.” The Journal of Law and Economics 64, no. 1 (2021): 53-84.
  19. Rothstein, Donna, and Evan Starr. “Noncompete agreements, bargaining, and wages.” Monthly Labor Review (2022).
  20. See Glynn, T.P., 2008. “Interjurisdictional Competition in Enforcing Noncompetition Agreements: Regulatory Risk Management and the Race to the Bottom.” Wash. & Lee L. Rev., 65, p.1381.
  21. Fisk, Catherine L. “Reflections on the new psychological contract and the ownership of human capital.” Conn. L. Rev. 34 (2001): 765.
  22. Starr, Evan, J. J. Prescott, and Norman Bishara. “The behavioral effects of (unenforceable) contracts.” The Journal of Law, Economics, and Organization 36, no. 3 (2020): 633-687.
  23. Prescott, J. J., and Evan Starr. “Subjective beliefs about contract enforceability.” Forthcoming at Journal of Legal Studies (2022).
  24. See , p.3-5.
  25. See . Specifically, the attorney notes: “The big problem with TQL’s noncompete is that it’s drafted so broadly, everyone knows it’s overbroad and won’t be enforced as written. And courts have held that it is overbroad and can’t be enforced as written. But Ohio has a doctrine that authorizes courts to reform overbroad noncompetes.”
  26. See e.g., the main comments listed by law firm Beck Reed and Riden in their letter asking the Governor of New York not to sign a noncompete ban. .
  27. Hiraiwa, Takuya, Michael Lipsitz, and Evan Starr. “Do Firms Value Court Enforceability of Noncompete Agreements? A Revealed Preference Approach.” SSRN Working paper (2023). Available at
  28. See arguments from the Retail Industry Leaders Association, available at .
  29. See Rothstein, Donna, and Evan Starr. “Noncompete agreements, bargaining, and wages.” Monthly Labor Review (2022). See also Starr, Evan P., James J. Prescott, and Norman D. Bishara. “Noncompete agreements in the U.S. labor force.” The Journal of Law and Economics 64, no. 1 (2021): 53-84. In the only longitudinal study of noncompetes, Gopal and Li (2023) find that noncompetes are associated with higher wages but no differences in wage growth; Gopal, Bhargav and Xiangru, Li “Training and Job Separation in Imperfect Labor Markets: The Case of Non-Compete Agreements” working paper available at .
  30. See Starr, E., 2019. “Consider this: Training, wages, and the enforceability of covenants not to compete.” ILR Review, 72(4), pp.783-817. See also Lipsitz, M. and Starr, E., 2022. “Low-wage workers and the enforceability of noncompete agreements.” Management Science, 68(1), pp.143-170. See also Balasubramanian, Natarajan, Jin Woo Chang, Mariko Sakakibara, Jagadeesh Sivadasan, and Evan Starr. “Locked in? The enforceability of covenants not to compete and the careers of high-tech workers.” Journal of Human Resources 57, no. S (2022): S349-S396. And see Johnson, M.S., Lavetti, K. and Lipsitz, M., 2020. “The labor market effects of legal restrictions on worker mobility.” Available at SSRN 3455381.
  31. In Commissioner Wilson’s dissent, for example, she notes (p.8) “that the scientific literature is still muddled as to who is helped and who is harmed by non-compete clauses.” She later writes (p.9) “In other words, the NPRM treats asymmetrically the evidence of harms (mixed evidence given great credence) and benefits (robust evidence given no credence). These early examples of cherry-picking evidence that conforms to the narrative provide little confidence in the integrity of the rulemaking process or the ultimate outcome.” Available at .
  32. See Weibust and Gerson (2023) “FTC’s Noncompete Proposal Is Based On Misrepresentations.” They write: “There are, in fact, reputable studies showing exactly the opposite of what the FTC claims — i.e., that workers who are presented with noncompetes before accepting job offers receive higher wages and more training, and are more satisfied in their jobs than those who are not bound by noncompetes.” Available at . See Hovenkamp (2023) “Noncompete Agreements and Antitrust’s Rule of Reason” The Regulatory Review, at . Hovenkamp writes “Workers who sign such agreements often receive higher wages than those who do not.” See also Meese, A.J., 2022. “Don’t Abolish Employee Noncompete Agreements.” Wake Forest L. Rev., 57, p.631. Meese (2022) writes “The employer’s payment of premium wages that induce such an agreement thereby shares with employees the gains that such contracts make possible.”
  33. This would estimate what economists refer to as the average effect of the treatment on the treated. One might also be interested in knowing what would have happened to people without noncompetes, were they bound by one.
  34. Rothstein, D. and Starr, E., 2022. “Noncompete agreements, bargaining, and wages.” Monthly Labor Review.
  35. Starr, Evan, James J. Prescott, and Norman Bishara. “Noncompetes in the U.S. labor force.” Journal of Law and Economics (2021).
  36. Balasubramanian, Natarajan, Evan Starr, and Shotaro Yamaguchi. “Employment Restrictions on Resource Transferability and Value Appropriation from Employees.” Available at SSRN 3814403 (2023). Note that this paper was previously titled “Bundling Employment Restrictions and Value Appropriation from Employees.”
  37. There is some heterogeneity worth noting from this study, which is that even accounting for selection into any restrictions, top managers with all restrictions continue to earn more than top managers with only an NDA. This suggests that perhaps executives might have differential earnings effects with regards to noncompetes and is consistent with some, though not all, other studies of high income workers. This includes several studies that find positive correlations between noncompete use and earnings for high wage workers like physicians (see Lavetti et al. 2020), and executives (Shi 2023). See Lavetti, K., Simon, C. and White, W.D., 2020. “The impacts of restricting mobility of skilled service workers: Evidence from physicians.” Journal of Human Resources, 55(3), pp.1025-1067. And See Shi, L., 2023. “Optimal regulation of noncompete contracts.” Econometrica, 91(2), pp.425-463.
  38. Ultimately, we would need a field experiment or some random variation in the use of just noncompetes to sort this out.
  39. Starr, E., Balasubramanian, N. and Sakakibara, M., 2018. “Screening spinouts? How noncompete enforceability affects the creation, growth, and survival of new firms.” Management Science, 64(2), pp.552-572.
  40. For a study of the Oregon law, see Lipsitz, M. and Starr, E., 2022. “Low-wage workers and the enforceability of noncompete agreements.” Management Science, 68(1), pp.143-170. For a study of the Hawaii law see Balasubramanian, Natarajan, Jin Woo Chang, Mariko Sakakibara, Jagadeesh Sivadasan, and Evan Starr. “Locked in? The enforceability of covenants not to compete and the careers of high-tech workers.” Journal of Human Resources 57, no. S (2022): S349-S396. See also Glasner, Benjamin. “The Effects of Noncompete Agreement Reforms on Business Formation: A Comparison of Hawaii and Oregon” (2023) which finds that the Hawaii ban increased new firm formation, though the Oregon one did not. See also Young, Samuel (2021) “Noncompete Clauses, Job Mobility, and Job Quality: Evidence from a Low-Earning Noncompete Ban in Austria,” which finds evidence from a low-wage noncompete ban in Austria that noncompetes reduced mobility to better paying jobs, but did not increase overall wage growth rates; available at . See Johnson, M.S., Lavetti, K. and Lipsitz, M., 2020. “The labor market effects of legal restrictions on worker mobility.” Available at SSRN 3455381. See also Starr, E., 2019. “Consider this: Training, wages, and the enforceability of covenants not to compete.” ILR Review, 72(4), pp.783-817
  41. For example, Gibson, Dunn, and Crutcher LLP in their comment to the FTC write “Ultimately, it would be workers—particularly younger workers and others for whom on-the-job training and mentorship are indispensable to future success—who would bear the brunt of the harm caused by erosion of firms’ incentives to invest in human capital”, available at . Also see Bronars, Stephen “A Critical Evaluation of The FTC’s Empirical Evidence That Prohibiting Non-Compete Clauses Will Increase Earnings” (2023), at .
  42. Two studies that find that noncompetes and their enforceability are associated with more training are Starr, E., 2019. “Consider this: Training, wages, and the enforceability of covenants not to compete.” ILR Review, 72(4), pp.783-817. Starr, E.P., Prescott, J.J. and Bishara, N.D., 2021. “Noncompete agreements in the U.S. labor force.” The Journal of Law and Economics, 64(1), pp.53-84. A recent study also finds a positive correlation between noncompetes and training, but that this positive relationship disappears once conditioning on various worker characteristics (Gopal and Li (2023) “Training and Job Separation in Imperfect Labor Markets: The Case of Non-Compete Agreements” Working paper available at ).
  43. For example, after California courts in Advanced Medtronic vs. Bionic (2002) allowed a cross-state noncompete case to be decided in Minnesota, firms started using noncompetes in California with out-of-state choice of law provisions as way to try to enforce noncompetes in another jurisdiction. See Kang, H. and Lee, W. (2022) “How innovating firms manage knowledge leakage: A natural experiment on the threat of worker departure” Strategic Management Journal, 43(10), pp.1961-1982. California became aware of this and passed Section 925 in 2017 to diminish this practice, and recently passed a revision to Section 1600.5 to make it clear that noncompetes are unlawful in California regardless of where they were signed and when (see ). Policymakers in other states are also aware of this forum-shopping approach—in Washington, for example, they banned noncompetes for workers earning under $100,000 and required that workers in Washington abide by Washington laws.
  44. See e.g., Cowen (2023), “Noncompete Contracts Can Help Both Workers and Firms.” Available at .
  45. See, for example the discussion in Barnett and Sichelman (2020), “The Case for Noncompetes,” University of Chicago Law Review, which critiques the existing literature and points out that patent-based measures of innovation may be less effective in studying the effects of noncompetes on innovation because noncompetes may push firms towards trade secrecy instead. One study commonly cited among those who want to argue that enforcing noncompete spurs innovation is a working paper by Carlino, G.A. (2021) “Do Non-Compete Covenants Influence State Startup Activity? Evidence from the Michigan Experiment.” Carlino (2021) examines the 1985 MARA antitrust reforms in Michigan which, in addition to changing antitrust laws also inadvertently caused Michigan to start enforcing noncompetes. He finds that “increased enforcement had a positive and significant effect on the number of quality-adjusted mechanical patents in Michigan, the most important patenting classification in that state.” Setting aside the fact that it is difficult to disentangle the effect of the noncompete reform from the antitrust changes adopted at the same time, it is important to be precise about the evidence underlying this increase in mechanical patents since it is prominently cited. Figure 3 of Carlino (2021) shows indeed that mechanical patents do rise after MARA is passed—but that rise begins in 1998, 13 years after the noncompete policy supposedly came into place into Michigan. Between 1980 and 1997, the patenting rate of mechanical patents followed a slightly increasing trend which showed no discontinuous effects over this time period. Accordingly, it is exceedingly unlikely based on the time trends that the increase in mechanical patents in Michigan had much to do with the noncompete reform in 1985; rather, anything else that affected innovation in the mid-1990s might have driven that effect.
  46. See Almeida, P. and Kogut, B., 1999. “Localization of knowledge and the mobility of engineers in regional networks.” Management Science, 45(7), pp.905-917.
  47. Johnson, Matthew, Michael Lipsitz, and Alison Pei (2023), “The Enforceability of Noncompete Agreements and Innovation: Evidence from State Law Changes.” NBER Working Paper 31487.
  48. For similar evidence on investment and entrepreneurship, see Jeffers (2023) “The Impact of Restricting Labor Mobility on Corporate Investment and Entrepreneurship”, forthcoming at Review of Financial Studies.
  49. Reinmuth and Rockall (2023) “Protect or Prevent? Non-Compete Agreements and Innovation.” Working Paper available at .
  50. Mueller, Clemens (2022) “How Reduced Labor Mobility Can Lead to Inefficient Reallocation of Human Capital.” Working paper available at .
  51. Baslandze, Salome (2022), “Entrepreneurship through Employee Mobility, Innovation, and Growth.” Available at https://www.dropbox.com/s/asy2kpzkxnj880e/Baslandze_spinouts_Konstanz.pdf?dl=0
  52. See Corrigan (2023) “Non-compete clause ban will have ‘disastrous effect’ on small business”, available at .
  53. For example, the U.S. Chamber of Commerce notes in their comment to the FTC that “noncompetes encourage the development of more viable market entrants” and highlight the testimony of Sam Westgate, a representative of a trade association, that “if non-compete agreements are not allowed for key employees, the revolving door for those employees could eventually force smaller companies out of business…”
  54. See Jeffers, Jessica. “The impact of restricting labor mobility on corporate investment and entrepreneurship.” Available (2023). See also Marx, M., 2022. “Employee non-compete agreements, gender, and entrepreneurship.” Organization Science, 33(5), pp.1756-1772. See also Starr, E., Balasubramanian, N. and Sakakibara, M., 2018. “Screening spinouts? How noncompete enforceability affects the creation, growth, and survival of new firms.” Management Science, 64(2), pp.552-572.
  55. See Bishara, N.D., 2010. “Fifty ways to leave your employer: Relative enforcement of covenants not to compete, trends, and implications for employee mobility policy.” U. Pa. J. Bus. L., 13, p.751.
  56. See .
  57. See e.g., Bronars (2023) “A Critical Evaluation of The FTC’s Empirical Evidence That Prohibiting Non-Compete Clauses Will Increase Earnings” available at .
  58. See .
  59. For trade secret insurance see . For litigation financing, see . Broadly, a Spilling Secrets podcast episode describes these tools for protecting trade secrets, available at .
  60. See Sanga, S., 2018. “Incomplete contracts: An empirical approach.” The Journal of Law, Economics, and Organization, 34(4), pp.650-679. Note that it is not clear if this practice will be illegal if the FTC’s proposed rule goes into effect, because it might be construed as a de facto noncompete. Others have argued that similar forfeiture for competition clauses are just like noncompetes. For example in Sarnoff vs. American Home Production Corp. (1986), the 7th circuit writes regarding a forfeiture for competition clause: “In defense of this result it can be pointed out that in the case of a covenant not to compete the employee who quits and goes into competition with his former employer can be enjoined from competing; with the condition he cannot be, though if the forfeiture triggered by the condition’s coming to pass is great enough, the inducement to avoid competing with his former employer may be as strong as the threat of a contempt judgment for violation of an injunction would be — or at least strong enough.”
  61. Rather, there is mixed evidence on this point.
  62. Shi, L., 2023. “Optimal regulation of noncompete contracts.” Econometrica, 91(2), pp.425-463.
  63. See Starr, Evan, Justin Frake, and Rajshree Agarwal. “Mobility constraint externalities.” Organization Science 30, no. 5 (2019): 961-980.
  64. Ironically, despite their own freedom to move or start companies, lawyers are among the most vocal advocates for the benefits of noncompetes. See e.g., .
  65. See .
  66. See .
  67. See .
  68. See Weibust and Gerson (2023) “FTC’s Noncompete Proposal Is Based On Misrepresentations.”
  69. See Gurun, U.G., Stoffman, N. and Yonker, S.E., 2021. “Unlocking clients: The importance of relationships in the financial advisory industry.” Journal of Financial Economics, 141(3), pp.1218-1243.
  70. Dissent by Commissioner Wilson, p.8 “A study by Gurun, Stoffman, and Yonker finds that an agreement not to enforce post-employment restrictions among financial advisory firms that were members of the Broker Protocol led brokers to depart their firms, and consumers to follow their brokers, at high rates. The study found, however, that clients of firms in the Broker Protocol paid higher fees and experienced higher levels of broker misconduct.”
  71. See Kang, H. and Fleming, L., 2020. “Non‐competes, business dynamism, and concentration: Evidence from a Florida case study.” Journal of Economics & Management Strategy, 29(3), pp.663-685. See also Lipsitz, Michael, and Mark J. Tremblay. “Noncompete Agreements and the Welfare of Consumers.” Available at SSRN 3975864 (2021).
  72. For entrepreneurship see Jeffers, Jessica (2023) “The impact of restricting labor mobility on corporate investment and entrepreneurship.” (2023). See also Marx, M., 2022. “Employee non-compete agreements, gender, and entrepreneurship.” Organization Science, 33(5), pp.1756-1772. See also Starr, E., Balasubramanian, N. and Sakakibara, M., 2018. “Screening spinouts? How noncompete enforceability affects the creation, growth, and survival of new firms.” Management Science, 64(2), pp.552-572. See also Glasner, Benjamin. “The Effects of Noncompete Agreement Reforms on Business Formation: A Comparison of Hawaii and Oregon” (2023).
  73. See Younge, K.A., Tong, T.W. and Fleming, L., 2015. “How anticipated employee mobility affects acquisition likelihood: Evidence from a natural experiment.” Strategic Management Journal, 36(5), pp.686-708.
  74. Hausman, Naomi, and Kurt Lavetti. “Physician practice organization and negotiated prices: evidence from state law changes.” American Economic Journal: Applied Economics 13, no. 2 (2021): 258-296.
  75. See Goudou (2022) “The Employment Effects of Non-Compete Contracts: Job Retention vs. Job Creation,” available at for summary of the employment arguments. Goudou concludes “In equilibrium, the model predicts a higher unemployment rate associated with a higher incidence of enforceable NCAs in the economy.” In addition, the paper shows that a restriction on the duration of NCAs is welfare improving. See also Johnson, Lipsitz, and Pei (2023) for evidence that enforcing noncompetes reduces job creation.
  76. Gurun et al. (2021) note this, writing: “We refer to non-compete agreements, but include also non-solicit agreements, which allow employees to move to competing firms, but not to solicit former clients to move their business.”
  77. It may be that the FTC missed this study because it does not refer to entering the “broker protocol” as removing a noncompete, but rather as a non-solicitation agreement.
  78. From a technical perspective, neither of these studies uses state-of-the-art difference-in-differences methods to account for the staggered entry into the Broker’s Protocol. However, at least the Clifford and Gerken (2021) study shows evidence of parallel pre-trends in some specifications, which gives it in general more credibility than the Gurun et al. (2021) study.
  79. Three areas in particular seem ripe for future exploration. Studying (1) the causal effects of noncompetes themselves using field experiments, (2) whether bans on noncompetes will give rise to increased (or decreased) trade secret litigation, and (3) studying the extent to which other forms of protection effectively protect legitimate firm interests.

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Are Opportunity Zones Working? What the Literature Tells Us /opportunity-zones-research-brief/ Thu, 12 Oct 2023 12:00:24 +0000 /?p=22486 Download the Research Brief by Kenan Fikri and Benjamin Glasner, PhD Download Introduction With the passage of the Tax Cuts and Jobs Act in 2017, Opportunity Zones (OZs) became the most consequential place-based policy initiative in a generation. Designed with decentralization, flexibility, and scalability in mind, OZs were [...]

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Download the Research Brief

by Kenan Fikri and Benjamin Glasner, PhD

Introduction

With the passage of the Tax Cuts and Jobs Act in 2017, Opportunity Zones (OZs) became the most consequential place-based policy initiative in a generation. Designed with decentralization, flexibility, and scalability in mind, OZs were the first federal development program to use capital gains tax incentives as the mechanism to drive behavior.[1] This structure was one important departure among many from the more traditional tax credit model, which together help explain how OZs unlocked $48 billion worth of direct equity capital for investing in targeted low-income communities by the end of 2020 alone.[2]

The novelty of the OZ mechanism has ushered in a new generation of research as scholars race to grade the policy. Historically, researchers have found little lasting economic impact from legacy “zone” programs such as Enterprise Zones, prompting many to ask whether OZs would be any different.[3] In the rush to declare success or failure, however, even prominent scholars have succumbed to various analytical pitfalls searching for effects of the policy in the wrong places at the wrong times. The structure of the incentive, pace of regulatory rollout, and nature of community development all caution for patience in allowing the impacts of the policy to register. In the meantime, the studies that most clearly incorporate the structure of the incentive and its most common use-cases into their design show strongly positive initial results that suggest that the OZ model has truly broken new ground. The following brief will critically evaluate the emerging body of academic work on the economic impacts of OZs to level-set on what can credibly be determined at this point in time and, we hope, constructively inform scholars’ research agendas going forward.

Taking Stock of the Emerging Literature

Scholars have endeavored to evaluate the performance of OZs across a number of different factors since the policy was enacted. They have explored the relationship between OZ status and home prices,[4] commercial property sale prices and transaction volumes,[5] building permits activity,[6] establishment openings,[7] job openings,[8] employment rates, incomes, and poverty rates.[9] Effect estimates on the immediate and short-run impacts of OZs have ranged from positive[10] to null.[11] Appendix Table 1 compares and contrasts a number of different studies in depth.

Not all of these studies are created equal, however. Some have consequential shortcomings in their designs or methods. For example, most inquiries only examine a short window immediately following the policy’s passage—an implausible time horizon for observing meaningful impacts. The analysis window in four of the nine most widely-referenced papers does not extend beyond 2019, meaning their study periods ended just as OZ regulations were finalized (see Figure 1).[12] Results from this pre-regulatory period cannot tell us anything about the direct short-term impact of OZ investment on targeted communities, not to mention anything of the long-term impact of a fully-implemented policy. As it happens, the two studies observing the strongest positive impacts (Arefeva, et al., 2023 and Wheeler, 2022) incorporate at least two full years of post-regulatory observations.

Figure 1: Chronology of select OZ studies and milestones

Timelines Are Critical to Evaluating OZs

All new policies take time to ramp up, but the structure of the OZ incentive makes timing especially crucial to internalize into study designs. Specifically, scholars must take into account key regulatory milestones, grasp how the regulatory timeline shaped the evolution of the market, and align with the on-the-ground realities of investment and development.

  • Regulatory timeline. OZs were enacted in December 2017 as part of the Tax Cuts and Jobs Act, but states first had to identify and propose their OZ selections to the U.S. Treasury, and then those individual census tracts had to be certified by the Secretary. This process was not completed until June 2018. Following designation, regulations essential to investing in OZs were promulgated in three waves, starting in October 2018, then in April 2019, and finally in December 2019—the latter two packages being the largest and most substantive. Thus, 2020 marked the first year a fully-operational OZ investment ecosystem was up and running.
  • Market development timeline. The regulatory timeline naturally shaped the economic and financial evolution of the market. The amount of equity capital raised by OZ funds grew rapidly as the regulations were finalized and has continued climbing since. The best available estimates report that OZ funds held a cumulative $48 billion in assets by the end of 2020, up from $4 billion in 2018 and $30 billion in 2019.[13] Private data sources suggest that holdings at least doubled again over the subsequent two years, charting a steep climb towards—and likely past—$100 billion in direct OZ equity by 2022.[14] It is important to remember that these figures describe the supply side of the OZ market, however, and that they will lead actual capital deployment significantly. In terms of communities, the best available information reports that 48 percent of OZs had already registered investment activity through the incentive by the end of 2020 (translating to approximately 3,800 individual communities, or census tracts), up from 26 percent in 2019.[15] In other words, the number of tracts registering investment was climbing steeply alongside investment dollars in the policy’s early years.
  • Investment timeline. The third critical consideration around timing has to do with the practical mechanics of investing and development. Investors have six months from realizing a capital gain to move the earnings into an OZ fund, and funds then have another six months to begin deploying that money into investments in communities. To date, OZ investments have primarily—although by no means exclusively—taken the form of real estate (often multi-family residential or mixed-use) and by nature (as codified in statute and regulation) must be new builds or substantial rehabilitations. The average multifamily construction project in the United States lasts 17.5 months from authorization to completion; even longer (19.2 months) for the larger buildings often associated with OZ investment.[16] Even before breaking ground, developers and investors have to conduct significant due diligence and project planning. Thus, two years can pass between when a place registers an OZ investment and when that investment becomes an economically active property. Researchers should anticipate these lags in their study designs.

What to Look For, and When

Ultimately, these timeline considerations mean that inquiries need to be grounded in clear theories of cause and effect, or what to expect and when. Timeframes are especially crucial given the upstream nature of an investment incentive, which only indirectly influences many economic indicators researchers care about—and does so at a considerable lag. Enterprise Zones provided direct employment tax credits, for example, the economic impacts of which can register immediately (the credit is only awarded when a person is in a job). OZs are fundamentally different.

Exploring the impact of designation versus investment

Given the limited data available on OZ investments themselves, many studies focus solely on the impact of designation on outcomes of interest, finding little-to-no immediate or short-term effect, such as in Freedman, Khanna, and Neumark (2023) and Chen, Glaeser, and Wessel (2023). Designation is no guarantee of investment, however; as mentioned above, only around one-quarter of OZs registered any OZ investment activity in 2019, for example. Given that the economic circumstances of tracts did not change with designation, any observed impact stemming from it in the period immediately following designation would mostly be indicative of speculation—that market participants expected OZ designation itself to change the value of property in an area instantaneously. Null effects here may simply tell us that market participants knew too little about what OZ status would entail for an area to immediately change behavior.

As better data on investment itself becomes available, two particularly salient research questions come to the fore: First, what characteristics of tracts are associated with receiving OZ investment, and second, what impact does that investment have on outcomes of interest. Policymakers have a keen interest in knowing which types of places are most responsive to this particular type of investment incentive. This knowledge can help improve spatial targeting and align OZ designation with places where it is most likely to have a meaningful impact. Meanwhile, what effects receiving OZ investment has on a community remains a vitally important subject to explore as a gauge for the long-term effectiveness of the policy.

What do we mean practically by the “upstream nature of the incentive?” We mean that the more indirect the relationship between a capital incentive and an outcome, the longer it will likely take for an effect to be observed. For example, building real estate is the most common use-case for OZ equity, specifically constructing multifamily residential or mixed-use buildings.[17] The pathway from the construction of a new building to neighborhood-scale reduction in poverty is long, and the construction of a building itself has no direct impact on poverty rates. Instead, the poverty reduction effect sets in gradually as new investment spurs new economic activity and the condition of local economic distress—with all of its negative ramifications on lives and livelihoods—begins to fade. Along these lines, Figure 2 charts the likely impacts of a new residential development through three phases: investment itself, the economic activation of that investment (e.g., occupancy), and the longer-term neighborhood revitalization effects that stem from there.

Figure 2: Phases of impact flowing from a mixed-use development

For example, the impacts from a mixed-use multi-family residential construction project might flow like this: First an investor purchases land, likely a vacant parcel. Then a permit must be issued, followed by a lengthy construction period. Eventually, the residential and commercial units will go on the market, increasing the supply of housing and storefronts. As the housing units become occupied, the local population increases. Street-level retail fills in gradually, too, with direct establishment and job creation effects. With new residents and businesses, foot traffic and local spending increase. Property values begin to rise as demand for that location increases. New business opportunities crowd-in additional investment and, with that, more jobs. As the neighborhood improves, the tax intake rises, allowing for reinvestment. At the same time, a variety of positive spillovers and beneficial social impacts take root as the momentum in the community shifts from distress towards opportunity and more people find jobs, stability, and optimism. The incomes and prospects of long-term low-income residents grow, and poverty falls. The cycle of regeneration takes off.

The process of economic development is not always so linear, of course, but the logic behind that sequence should guide researchers and their readers as they think through what impacts to expect to observe from OZs at what point in time—and when the time will be right to evaluate OZs on their ability to deliver the kind of positive change outlined in the paragraph above. Given the design of OZs, resident-level effects on poverty or employment are likely to lag behind indicators of development activity significantly, and we are still years away from being able to credibly estimate them.

Navigating the Pitfalls of OZ Analysis

OZs present researchers with a number of challenges to navigate, from limited data availability to the non-random selection of census tracts and an unfamiliar incentive structure. With no publicly available information on which census tracts have received OZ investment, let alone how much, researchers are left searching for evidence of the policy’s impact without knowing exactly where to look. The emerging body of work incorporates several creative approaches to tackling these challenges, but it also highlights several pitfalls that are worth studying for both producers and consumers of OZ research. Precision is crucial—precision in articulating what variables are being studied across which geographies (where), why those variables are appropriate, and how they are expected to influence the outcomes of interest in the timeframe (when) under consideration. The merits of any inquiry may quickly come into question if any link in that logic chain is weak or missing. In the case of OZs, a consistent pattern is emerging in which studies with the most inexact specifications or the weakest theoretical linkages between cause and effect find null impacts while those with the tightest linkages and most exacting specifications find significant and positive ones.

The remainder of this section examines several recent studies to demonstrate how scholars have navigated pitfalls around three core elements of any research inquiry: variable specification, model selection, and window of analysis. The appendix table breaks down each study in detail for further discussion.

  • Pitfall 1: Variable specification

The very specific nature of what constitutes an OZ investment can complicate research designs, from the data collected to the econometric model used. All OZ investments must meet either “original use” or “substantial improvement” tests, which are intended to ensure that OZ investments are economically additive to a community. Investments must also be held for at least 10 years to qualify for the full range of tax benefits. OZ investment activity therefore only represents a fraction of the overall investment activity in a designated area. By definition, qualifying OZ investment cannot be purely speculative (i.e., “buy and hold”), as investors cannot simply purchase an asset in a community (an office building, a home, or a piece of land) and hold it to be eligible for any tax benefits. In the real estate context, that means that OZs are better understood as a supply-oriented development or redevelopment incentive than a generalized investment incentive.

Indeed, misconstruing OZs as a generalized investment incentive open to all-comers for all transactions seems to be the biggest pitfall that scholars have fallen into, prompting them to search for market-level effects before what is in reality a much more bespoke ecosystem has had a chance to emerge. Another example: since investors must use the proceeds from the sale of an appreciated asset to fund their OZ investments and receive the tax benefits, the pool of qualifying investors is relatively small and excludes most retail investors—meaning large portions of the residential and commercial markets are not directly relevant to studying the near-term impacts of OZs.

For researchers, these caveats mean that price or transaction volume data for commercial or residential real estate will be poor estimators for the near-term activity induced by OZs, since only a fraction of parcels or exchanges will be OZ-eligible. For example, one of the primary sources of data on real estate transactions used by OZ researchers thus far has been the Real Capital Analytics (RCA) commercial investment database.[18] Both Feldman and Corinth (2022) and Sage, et al., (2021) use this data to examine the impact of OZ designation on commercial property sale prices and volumes. Problematically, this dataset is composed mostly of “investment transactions,” which RCA defines as traditional sales of buildings that are simply trading hands and decidedly not the sorts of transactions that are eligible to benefit from OZ tax incentives. Only about 7 percent of the RCA dataset is dedicated towards redevelopment or renovation[19]—meaning only a small fraction of the dataset includes observations relevant to an inquiry aiming to estimate any direct effects of OZ designation. And indeed, while Sage, et al., find a null effect of OZs on commercial property prices in aggregate, they do find a significant positive one on redevelopment properties.

Chen, Glaeser, and Wessel (2020) explore the effect of OZs on single-family home price growth rates from 2014 to 2019. Their inquiry is based on designation itself, and they find little evidence that home price growth rates accelerated in the subset of designated communities for which repeat-sale information is available. This neutral impact in the year immediately following designation could reflect a lack of information and awareness; it could also suggest that sellers and buyers did not expect OZ status to lead to disproportionately faster home price growth in designated communities. Wheeler (2022), for his part, finds the null result to be an artifact of the authors having used price growth rates rather than levels or log levels as the dependent variable.[20] But most fundamentally, the near-term connection between the OZ tax incentive and single-family home prices is by nature tenuous. The structure of the incentive makes it much more directly relevant to new construction and substantial rehabilitations in the multi-family (often rental) market. Thus, Chen, et al’s findings are best understood as signaling that OZs designation did not immediately trigger speculative activity in the residential real estate market, with nothing to say about the success or failure of the policy in raising property values over time.

Finally, Atkins, et al. (2021), look at job postings data through March 2020 for early estimates of the new economic activity induced by OZs, finding a modestly positive impact in urban areas with large resident Black populations but no clear relationship nationally. However, data limitations force the analysis to be run at the zip code level, which is a higher unit of aggregation than the operative geography of OZs (census tracts) and may obscure more localized economic impacts. Job postings data itself has its own biases across industries and locations and does not always have a one-to-one relationship to jobs, making it a novel place to look for signs of OZ impact but not one that can provide definitive insights on the policy’s immediate and short-run local economic impacts.

  • Pitfall 2: Model selection

The complexities inherent in OZ timelines make choosing the right model a challenge. Thus far, difference-in-differences (DID) has been the model of choice for most researchers. This method is particularly useful when a treatment and control group (e.g. designated tracts versus eligible but not designated tracts) can be clearly defined and outcomes can be observed both before and after treatment (e.g. before and after designation). DID is designed to estimate just how much the treatment changes the gap on outcomes of interest between the two groups.

In settings where treatment is not random, researchers need to validate the “parallel trends assumption,” ensuring that the treated and control groups were on similar paths before the event of interest, and that any initial difference between the two would likely have persisted had treatment not been introduced. If we believe the parallel trends assumption might not hold (and several scholars[21] have shown that it often does not for OZ tracts), then we cannot be sure that the study is observing the effect of treatment itself. A few solutions exist: one popular one is “matching methods,” which are used to improve the quality of comparison units for each treated unit in the sample, building a “valid” control group from the bottom up. In a similar fashion, researchers can create a “synthetic” control group that closely matches the initial characteristics of the observed unit. These specifications matter because the selection of OZs was not random. Governors designated OZs from a predetermined pool of eligible high-poverty and/or low-income census tracts in their states, but from there each state applied qualitative filters to tailor their selections to their own local priorities and circumstances. Not only does this introduce non-random treatment into the sample, it means that there are unobserved characteristics that vary by state and often make selected OZs distinct from non-selected OZs.

Even some workarounds have their pitfalls, however. Feldman and Corinth (2023) utilize a regression discontinuity (RD) model to examine the impact that OZ eligibility had on commercial investment. By nature, RD models zoom in on either side of a threshold—in this case, a multivariate measure of OZ eligibility cutoffs—to search for observable impacts on the outcomes of interest. However, the model is designed to detect whether OZ eligibility led to a commercial investment jump at the discontinuity—for example, in census tracts with a 20.1 percent poverty rate relative to those with a 19.9 percent poverty rate (i.e. on either side of the 20 percent eligibility cut-off)—and is less well-suited to detecting changes in the rest of the sample, including in the higher-poverty areas where the impact of the incentive may be less marginal/most meaningful. RD models also struggle to control for spillover effects across geographic units, which other studies (Arefeva, et al., 2023; Wheeler, 2022) show are significant for OZs.

What is more, RD models rely on the comparability of units on either side of the discontinuity, and the fact that the poverty rate is not a continuous variable but rather an aggregate (reporting the share of the population below the poverty threshold, with no information on the depth or severity of poverty within the poor population) suggests it may not provide a reliable axis. For example, a high-income area with a large public housing project or student population may have a high poverty rate but differ significantly from a more lower- or mixed-income area in which the same fraction of the local population falls below the poverty line.

Combined with an inherently noisy dataset (limited to commercial transactions over $2.5 million and in which most tracts had no observations at all) that is not particularly well-suited to studying OZs (see critique above), the inquiry produces estimates with extremely wide standard errors that encompass negative, neutral, and strongly positive possible outcomes. Even more fundamentally, the study asks whether eligibility itself changed investment trends in qualifying census tracts over the 2018 to 2020 period, even though by mid-2018, the question of eligibility had been resolved and the much smaller pool of actual OZs had been selected.[22] When the authors restrict the sample to census tracts that were selected as OZs, not just eligible, they again cannot rule out “economically significant effects.” Similar critiques apply to Alm, et al., who deploy an RD model against real estate transaction price data in Florida and find “little consistent and robust evidence” of an impact of OZs on the measures in question amid very high standard errors. In both cases, the ambiguities likely stem directly from the choice of model and the fitness of the price- and transaction-related variables under scrutiny.

  • Pitfall 3: Window of analysis

A final set of studies underscores the importance of looking for the right thing, in the right places, at the right time. Freedman, Khanna, and Neumark (2023) study some of the most important long-term proof points for the OZ model, namely whether the incentive has an impact on employment, poverty, and incomes in targeted neighborhoods. Using American Community Survey microdata through 2019, the paper aims to explore effects at the resident level. The authors report null effects across the outcomes of interest. However, the outcomes of interest are long-run by nature. It is not plausible to expect poverty rates to fall simply and immediately because a place was designated as an OZ. Thus, the important benefits to residents the authors care about (right thing) are unlikely to appear in the analytic window (wrong time). It is a prime example of a quality study that should be re-run in the future but has no practical utility until the logic of cause and effect comes into line down the road.

The work of Arefeva, et al., (2023) demonstrates the value of re-running analyses to corroborate and/or refine initial estimates as additional years of data become available. In their initial inquiry, the authors tested for the effect of OZs on business and job creation through 2019 using a DID model. The 2019 window was still early in the life of the policy, but the model was designed to detect direct initial effects of investment (the “investment and activation” phases from Figure 2), as opposed to more indirect revitalization effects (i.e. increases in resident employment rates as in Freedman, et al., (2023)). The authors found that OZs significantly increased the growth rate of employment and establishments at the tract level, with positive spillovers on neighboring tracts, too. They found the largest impacts in the construction industry, which aligns with the lifecycle of most OZ investment activity in the window they analyze. This plausible positive finding was corroborated in an update to the paper published in 2023 with results through the end of 2021. The revised estimates find moderately weaker establishment growth effects but moderately stronger job growth ones. These revisions confirm the directionality of the original study, which was one of the first to register positive effects on the expected indicators and in the expected places, and they also underscore that the effects of OZ will take time to register and will continue to evolve in communities over time.

Finally, Wheeler (2022) advances a design that naturally reflects the timing and mechanisms of the incentive and clearly looks at the right indicator at the right time. These characteristics make it the most valuable study to date and lends its findings a high weight in the portfolio of accruing evidence. The study explores the effect of OZ designation on new residential and commercial development as measured by building permits across 47 large cities covering 12,000 neighborhoods from January 2014 through June 2022. Given the nature of the OZ incentive and how it is used most widely in the marketplace (the development of new or refurbished structures), building permits are one of the first places one might expect an impact of OZs to register. Wheeler finds that OZ designation significantly increased new development both in OZs and nearby areas within the sample of large cities, consistent with the positive spillover effects found by Arefeva, et al. (2023), too. The effects are largest among neighborhoods with more available land and in-fill opportunities, a more elastic housing supply, and lower home values—all of which would be expected given the structure and predominant use-cases of the incentive. In the end, he finds that designated urban communities experienced a 20 percent increase in the likelihood of seeing development activity in any given month, and that the policy has boosted home values while keeping rents in check thanks to new supply.

Conclusion

Economic development is a long-term process and OZs are still a young policy. At its best, the first wave of research published in the years immediately following the policy’s passage can only possibly yield estimates about the immediate and short-run effects of being designated an OZ. By nature (and due to current data limitations), the work can say little about the effect of actually receiving investment on a community, and it is completely unable to quantify any long-run impacts of the policy.

The research community is rightly impatient to determine whether OZs are having an impact on important economic indicators in targeted areas, including on the livelihoods of low-income residents. The scale of capital being raised underscores the compelling public policy interest in knowing the effectiveness of the model. The practical realities of the incentive and the lags inherent in procuring quality data counsel for patience, however.

At this stage, a few facts can be established. First, the incentive is unlocking more investment capital and reaching more low-income communities than predecessor programs did at similar stages. The best available evidence strongly suggests that the size, scale, and geographic diversity of OZ capital-raising is registering in both a large proportion of targeted communities and spilling over positively into neighboring ones. The structure of the incentive itself ensures that OZ investments are economically additive to a community. It is increasingly safe to assume that OZ effects will be detectable when given a chance to play out. The first generation of studies (e.g. Chen, et al., and Corinth and Feldman) demonstrated value in showing that OZs did not trigger speculative activity in targeted communities. The second generation (e.g. Arefeva, et al., and Wheeler) is beginning to confirm that direct OZ investment activity is substantial and widespread. The third generation, which cannot credibly begin for a few more years, will start to answer the important questions about the policy’s long-term effects on neighborhoods. For now, a close look at the most comprehensive data already makes clear that OZs are breaking new ground and challenging us to reimagine what federal tax policy can achieve in chronically distressed parts of the country.

Appendix Table 1

Notes

  1. Hassett and Bernstein (2015).
  2. (2023).
  3. (1993); (2010); (2012), (2013); (2015); (2015); (2015); (2021).
  4. (2023).
  5. (2022); (2023).
  6. (2022).
  7. (2023).
  8. (2021).
  9. (2023).
  10. (2023); (2022); (2022); (2021).
  11. (2023); (2023); (2021); (2022); (2023).
  12. For the purposes of this analysis, we reference the original working paper by Chen, Glaeser, and Wessel (2019), which contained data up to the end of 2019. Subsequently, the published version released in the Journal of Urban Economics in 2023 extended data coverage until the end of 2020. We’ve maintained the original date range in this graphic because of the significant impact their initial paper had on public perceptions of OZs.
  13. (2023).
  14. (2023).
  15. (2023).
  16. U.S. Census Bureau’s (2023).
  17. (2023); (2023).
  18. (2021); (2023).
  19. As reported by (2023).
  20. With another year of data and using log levels of housing values in the American Community Survey instead of house price growth rates from the Federal Housing Finance Agency, (2022) documents a 3.4 percent increase in median home values in a subset of urban OZs from 2017 to 2020.
  21. (2023); (2023); (2023).
  22. Over 40,000 census tracts were eligible to be selected as OZs; just over 8,700 were ultimately selected, including the OZs in U.S. territories.

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91PORN Applauds Reintroduction of Bipartisan Legislation to Strengthen Opportunity Zones /opportunity-zones-transparency-extension-improvement-act-2023/ Thu, 28 Sep 2023 17:29:02 +0000 /?p=22468 Media Contact: Amelia Sandhovel | amelia@eig.org Washington, D.C. — The Economic Innovation Group (91PORN) applauds the reintroduction of the Opportunity Zones Transparency, Extension, and Improvement Act by Representatives Mike Kelly (R-PA-16) and Dan Kildee (D-MI-08), along with Representatives Carol Miller (R-WV-01) and Terri Sewell (D-AL-07), to strengthen the Opportunity Zones (OZ) policy through robust new [...]

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Media Contact: Amelia Sandhovel | amelia@eig.org

Washington, D.C. — The Economic Innovation Group (91PORN) applauds the reintroduction of the by Representatives Mike Kelly (R-PA-16) and Dan Kildee (D-MI-08), along with Representatives Carol Miller (R-WV-01) and Terri Sewell (D-AL-07), to strengthen the Opportunity Zones (OZ) policy through robust new reporting and measurement requirements and expanded incentives to spur investment in high-need communities.

“Opportunity Zones are playing a vital role in attracting much-needed investment across a diverse range of high-need communities, and this legislation would make the policy an even more effective tool for economic development,” said John Lettieri, President and CEO of the Economic Innovation Group. “91PORN applauds Representatives Kelly and Kildee for their leadership in reintroducing the Opportunity Zones Transparency, Extension, and Improvement Act to make Opportunity Zones a stronger, better targeted, and more transparent incentive.”

91PORN analysis of the latest OZ investment data from recent studies by and the scholars found that by 2020, OZs had already achieved a geographic reach and scale of investment unique among U.S. place-based policies. Just two and a half years after zone designation, nearly half (48%) of all zones—or roughly 3,800 communities across every state—had received investment, with those receiving investment among the highest-need communities in the U.S. on average. Further, OZ investment triggered a “large and immediate” increase in local development activity, delivering an economic boost for surrounding communities and increasing home values while holding rents steady.

The Opportunity Zones Transparency, Extension, and Improvement Act includes longstanding 91PORN recommendations that are supported by a diverse array of stakeholders nationwide. Specifically, the bill would:

  • Reporting and community measurement requirements: The bill incorporates the bipartisan IMPACT Act (S.2994) to establish robust reporting and outcomes measurement standards related to the incentive and performance of designated communities. It would require the Department of the Treasury to publish an annual report on national OZ activity that includes aggregated data on such factors as the number of qualified funds, total assets held by qualified funds, and the distribution of OZ investments. It further requires Treasury to examine the performance of designated OZ communities over time by comparing key socioeconomic indicators in designated communities to those in low-income communities that were eligible but not designated. These reports would be issued in the 6th and 11th years after the date of enactment.
  • Early sunset Opportunity Zones with high median family income: The bill would remove Opportunity Zones designation for tracts that have a median family income (MFI) of 130 percent of the national median family income or greater, thereby preventing new investments in such tracts from being eligible for the tax incentive. In general, Opportunity Zones rank as high-need communities across most measures of socioeconomic well-being, as confirmed by a 2021 Government Accountability Office (GAO) report. However, a small percentage of tracts originally nominated by governors and designated by the Secretary of the Treasury have an MFI that exceeds 130 percent of the national average. States will have the opportunity to replace the sunset tracts with new designations.
  • Extend the deadline for OZ investment: The legislation extends the investment and deferral period for qualifying investments to the end of 2028. This change would recoup time lost during regulatory implementation and create a stronger incentive for investment in low-income communities.
  • Allow fund-of-fund investments: The legislation allows intermediary investments into feeder funds to enable more investments into smaller Qualified Opportunity Funds. Allowing feeder funds will permit the pooling of smaller investments to make impactful and diversified OZ investments.
  • Designate certain formerly industrial brownfield tracts: The bill would designate certain zero population census tracts as Opportunity Zones provided that they are adjacent to an existing OZ, formerly used for industrial purposes, and contain a brownfield site.
  • Create a federal fund for state and local community resources: The bill would establish a $1 billion State and Community Dynamism Fund to be allocated to states to support activities such as technical assistance and local capacity building, pre-development investments into community-oriented OZ projects, and risk mitigation for Qualified Opportunity Funds.

Explore the congressional statement .

About the Economic Innovation Group (91PORN)

The Economic Innovation Group (91PORN) is a bipartisan public policy organization dedicated to forging a more dynamic and inclusive American economy. Headquartered in Washington, DC, 91PORN produces nationally-recognized research and works with policymakers to develop ideas that empower workers, entrepreneurs, and communities.

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The Chipmaker’s Visa: A Key Ingredient for CHIPS Act Success /chipmakers-visa/ Mon, 25 Sep 2023 08:55:28 +0000 /?p=22456 Download the Policy Brief Download by Adam Ozimek and Connor O'Brien Introduction: Congress’ Historic Semiconductor Push The resurgence of industrial policy in the U.S. is perhaps the most consequential—and also most daunting—when it comes to semiconductor manufacturing. The focus of policy on this sector is understandable: the overwhelming [...]

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Download the Policy Brief

by Adam Ozimek and Connor O’Brien

Introduction: Congress’ Historic Semiconductor Push

The resurgence of industrial policy in the U.S. is perhaps the most consequential—and also most daunting—when it comes to semiconductor manufacturing. The focus of policy on this sector is understandable: the overwhelming concentration of leading-edge chip production in the geopolitical hotspot of Taiwan, along with China’s aggressive push to strong-arm Western chipmakers into ceding frontier chipmaking technologies, has raised significant national and economic security concerns. The economy relies on advanced semiconductors for a wide variety of products and services and though the global pandemic did not notably decrease the production of most types of chips, it did illustrate how costly supply chain disruptions can be. Chips play a key role in defense and national security from mature node chips in missiles to leading-edge semiconductors in autonomous vehicles. The extent to which both our consumer economy and national security apparatus rely on semiconductors makes the concentration of the chip supply chain in a potential war zone a top-tier policy concern.

To address these risks, Congress and the administration are making an historic, bipartisan push to reshore some semiconductor manufacturing with the CHIPS and Science Act, which will spend over $50 billion in federal grants for private industry and research groups in the coming years. Using these funds, the U.S. Department of Commerce will make a series of high-stakes bets on new facilities and manufacturing clusters throughout the country. The primary goal of the CHIPS and Science Act’s semiconductor provisions is to reshore some production of leading logic and memory chip manufacturing, rebuilding localized communities of practice and highly specialized knowledge and experience. The implementation of these provisions and corresponding policies to support them should remain tightly focused on achieving this reshoring outcome.

While this commitment is an important step towards advancing greater global diversification and U.S. control of a critical industry, success is far from assured. Even if Commerce can successfully incentivize new facilities and new suppliers, it is far from guaranteed that recipients will continue to invest in the United States after funding for subsidies is exhausted. Longstanding criticisms of industrial policy are relevant and cannot be dismissed out of hand simply because of the national security imperative. The history of industrial policy is littered with examples of incomplete efforts that include spending public money without addressing the other necessary barriers to building-out an industry that can ultimately stand on its own without ongoing government support. The risks of industrial policy failure are even more clear in the case of semiconductors; after all, the United States has already proven that it can attain, and subsequently lose, global preeminence in chip manufacturing.

With this history and a realism about the challenges of bringing back a globally competitive industry in mind, policymakers must ask what steps can be taken next to increase the odds of success for this important industrial policy. While the CHIPS Act represents a considerable capital investment, that is only part of the recipe for success for an industry that relies on some of the world’s most sophisticated machinery and supply chains. The big push of physical and financial capital must be matched by a big push of human capital. In this brief, we propose a targeted visa reform to assist chipmakers in attracting necessary talent and making the most of this historic bipartisan investment.

Targeted Immigration is an Exception to the Rule

The ideal approach to U.S. skilled immigration policy would be to prioritize immigrants who have the highest earning potential rather than attempt to admit people based on a bureaucratic assessment of which specific skills or occupations are facing “shortages.” This hands-off approach is in-line with the broadly decentralized way that U.S. policy traditionally deals with similar issues like degree choice, occupation choice, and industry growth. Policymakers are, in general, ill-prepared to predict long-term changes in the sectoral composition of the economy and to promptly adapt policy accordingly, so an industry-agnostic perspective tends to be most effective in stoking innovation. However, there are a handful of rare, notable exceptions where policy can be targeted at specific industries for geopolitical and national security reasons. Few industries meet this high bar, but Congress has, with justification, decided that the security of semiconductor supply chains is too important to be allowed to be concentrated in the hands of adversaries or geopolitically vulnerable regions. Given this policy stance, the industry-agnostic approach to immigration should be reconsidered in this context as well; CHIPS subsidies are headed out the door regardless, so it is imperative we do what we can to make them work.

Talent is a Barrier to Scaling Up Chipmaking

Indeed, a close examination of the economics of the semiconductor supply chain suggests that talent will be at least as crucial an input to the industry’s domestic revival as the additional capital to be supplied by the CHIPS and Science Act. While increasing the supply of engineers and other skilled workers from U.S. universities will be critical in the long-run, sole reliance on this limited and difficult-to-scale talent stream would seriously jeopardize the success of the CHIPS Act in the near-term. In this section, we discuss why high-skilled immigration policy will be a key ingredient to the success—or failure—of CHIPS. The case for a big push of human capital as a crucial component to semiconductor industrial policy is evident in the following four facts about the semiconductor industry with implications for workforce needs.

1. Semiconductor manufacturing requires highly specialized and experienced technical talent, particularly at the technological frontier.

Semiconductor production is incredibly complex, and at all stages requires a workforce that is not just highly skilled but also possesses hands-on experience. Consequently, international engineers at TSMC, Samsung, and other manufacturers represent a “critical competitive advantage in the chipmaking industry,”[1] and requiring the U.S. industry to grow solely using the domestic workforce would deprive manufacturers of critically important workers who possess the on-the-ground knowledge necessary for success immediately.

Historically, attracting thousands of high-skilled and experienced workers has proven central for successful industrial policy around the globe. During its infancy, Taiwan’s now-dominant semiconductor industry drew from the diaspora of thousands of Taiwanese living in the U.S. who possessed hands-on experience in the U.S. industry, which at the time was the global hub for advanced chip manufacturing. At the company’s beginning, the majority of TSMC’s executive team had experience in the U.S. working for Motorola, Intel, or Texas Instruments.[2] When China sought to replicate Taiwan’s successful policy push, they realized foreign talent was central and hired thousands of experienced engineers from Taiwan.[3] Again and again, countries tailoring industrial policy to boost semiconductor manufacturing have recognized the centrality of experienced, high-skilled immigrants to get off the ground.

None of this is to argue that existing native-born workers are somehow less capable of operating leading-edge chip factories, but rather that drawing on the kinds of tacit process knowledge that can only be acquired first-hand will be key to catching back up to the manufacturing frontier. Ultimately, American engineers will acquire this kind of deep expertise themselves from experience as we build out the next wave of fabs, but we can dramatically speed up this diffusion of know-how by maximizing American factory managers’ freedom to hire top talent with the requisite experience.

2. Growing the skilled domestic workforce takes time but increases in chipmaking talent are needed immediately.

If CHIPS is successful, American colleges, universities, and companies will ultimately scale up workforce development efforts to meet the challenge of rebuilding leading-edge semiconductor production in the U.S., but it will take time. However, Congress’ $52 billion down payment on reshoring chipmaking is already starting to go out the door. The timelines for building and operating new fabs simply do not match the longer timelines for fixing domestic workforce pipeline problems.

The possibility that U.S. colleges might eventually produce a sufficient domestic labor force to fill the chip industry’s engineer and technician roles is not helpful in ensuring the near-term success of the CHIPS Act. Attempting to catalyze the industry and expand the pipeline of requisite workers represents a chicken-and-egg dilemma that will necessitate a big push of skilled immigration to help jump-start the industry. If the U.S. fails to advance its semiconductor industry due to a lack of skilled workers today, we will not be able to convince students to apply to these programs and pursue a career in an industry that is failing to grow tomorrow.

Workforce needs are not just about highly educated workers, but also the highly specialized construction workers with experience building complex elements of fab facilities like clean rooms and installing some of the most complicated machines ever built: extreme ultraviolet lithography machines. Since advanced fab construction is so rare in the United States, there are few (if any) ways for native-born workers to gain first-hand experience building these systems, which require absolute precision. Furthermore, given that the long-run demand for these skills is far from guaranteed due to its dependence on the success of the risky industrial policy itself, it is unlikely such workers would invest sufficient time and energy to get the skills needed. What does it benefit a U.S. construction worker to become an expert in building semiconductor clean rooms if the U.S. semiconductor industry is likely to fail due to lack of workers? In the meantime, the industry will face higher costs that will reduce future willingness to invest and expand due to the lack of these skilled workers.

3. The existing workforce pipeline depends on immigrants as well.

Even utilizing the existing pipeline of skilled workers being produced by U.S. universities is dependent on high-skilled immigration, as roughly two-thirds of U.S. graduate students in fields relevant to chipmaking are foreign-born. The status quo for these students already hampers U.S. competitiveness as major flaws in the current immigration system are allowing these students to be successfully recruited by other countries with better functioning high-skilled immigration systems. For example, over 45,000 foreign-born graduates of U.S. colleges have been recruited to Canada’s high-skilled immigration programs in recent years.[4] This exodus is no surprise given that the insufficient supply of employment-based green cards that often leaves skilled workers stuck on temporary visas for a decade or more.

The argument that U.S. colleges produce enough skilled workers to fill the needed roles in the industry belies the fact that a significant portion of those skilled workers are themselves immigrants who will need a pathway to staying in this country.

4. An industry-specific pathway is merited.

One potential counterargument for a semiconductor industry-specific visa is that we should simply expand the supply of high-skilled immigration in general. It is important to acknowledge that the U.S. should absolutely expand the overall supply of high-skilled immigrants, and it is true that a sufficient expansion in these workers could potentially meet the needs of the industry and allow it to be globally competitive. However, there remains a strong case for an industry-specific approach.

Chipmakers in the U.S. have to compete with high-paying firms in software and other sectors for talent. An industry-neutral perspective might conclude this is not a problem justifying government involvement; however, Congress has already privileged and subsidized chipmaking, deeming it a key national and economic security priority. We are now faced with the choice of doing whatever it takes to make these investments pay off or allowing them to flounder.

Second, a more targeted approach like picking which specific roles are facing “shortages” is less likely to succeed. Government generally has a difficult time identifying occupation or industry-specific labor shortages. Importantly, the case for an industry-specific visa does not rest on a precise estimate of the shortfall of workers the industry will need. Whether or not you believe industry estimates of engineering or technical talent shortages, granting chipmakers and their suppliers wider access to the global talent pool will inevitably give them a leg up. This will increase the odds of success of an industry in which policymakers have already agreed we have acute economic and national security interests.

Proposal: Boost CHIPS Investments with Targeted Immigration Reform

Coinciding with historic investments in new semiconductor fab construction and production, Congress should open new visa pathways for this industry to recruit talent globally. A targeted 10-year push specific to the chipmaking industry and its key upstream suppliers will substantially raise the odds that the United States succeeds in its goal of becoming a leading producer of the world’s most advanced chips.

Semiconductor production is arguably the most sophisticated manufacturing process in the world and requires deep pools of highly specialized workers with rare skills. Only a handful of sites in the world have combined the necessary capital, supply chain networks, machinery, and talent into successful hubs of leading-edge chip production. The United States, having fallen behind, is now in short supply of technicians and engineers with direct experience manufacturing the latest generation of semiconductors. Given the indispensable role of talent in the global race for semiconductor dominance, Congress should supplement its historic financial investments in new plants, R&D, and domestic upskilling with a new visa pathway that will enable the industry to fully tap into the global pool of experienced talent.

In this paper, we propose a new Chipmaker’s Visa that is tailored to the challenge of scaling up leading-edge domestic chip production over the next decade. By cutting through red tape in the immigration system and allowing chipmakers to hunt for the scientific and technical talent they need in the global labor market, the Chipmaker’s Visa would treat the semiconductor challenge like the truly urgent national imperative Congress deems it to be.

10-year program

The Chipmaker’s Visa program would be authorized to issue 10,000 new visas per year for 10 years with an expedited path to a Green Card not subject to complicated bureaucratic hurdles or per-country caps. This represents a concerted, one-time push to infuse the U.S. workforce with the specialized skills needed to dramatically ramp-up the kind of semiconductor industrial capacity that only exists in a few pockets of the world. It is also designed to pair human capital with the substantial investment incentives that Congress has already provided to enable one to reinforce the other. While Congress may disagree on many elements of immigration policy, there is a broad bipartisan consensus that reshoring advanced chipmaking is a critical national priority and that the available workforce is not sufficient to build and scale-up these complex facilities quickly. Thus, a time-limited visa specific to the industry should be a highly effective point of bipartisan agreement.

2,500 available each quarter, allocated by quarterly auction

Rather than attempt to identify the occupations chipmaking firms need most, this visa will take a more market-oriented approach, allocating visas by auction so firms can tailor use to their specific, unique needs. Every quarter, 2,500 visas will be auctioned off to qualifying firms. Those firms can then utilize those visas to hire skilled immigrants, subject to an overall minimum salary level that ensures the jobs are genuinely skilled. To ensure the visas are contributing to the industry, they must be utilized by firms within a year of being won at auction. Once a visa is used by a particular firm, its ownership immediately transfers to the sponsored worker.

Unlike annual visa allocations that give businesses one chance to sponsor and hire foreign talent, the Chipmaker’s Visa’s more regular allocations will allow manufacturers to more quickly scale up production or add workers or managers with highly specific skills and experience they cannot find on the domestic market.

Firms that have Chipmaker’s Visas can compete with each other to hire the best talent from abroad or from U.S. universities, incentivizing higher pay and more efficient allocation of the limited supply of skilled, specialized workers to where they are truly needed.

5-year visa, once renewable

The Chipmaker’s Visa’s longer-than-usual term will give firms certainty that they will have sufficient time to scale-up their investments in the U.S. and train domestic workers. Given the importance of tacit knowledge and first-hand production experience in leading-edge chipmaking, giving firms time to integrate experienced foreign-born workers into their production processes is essential to building the capabilities in the domestic labor force that are necessary to making chips in the U.S. long-term.

A focus on skills and wages, not degrees

Rather than prescribe education requirements or arbitrarily limit the use of the Chipmaker’s Visa to those with a particular college degree, the visa will be available to whomever can prove their skills are in demand with a job offer from a relevant chipmaking firm or supplier. Granting visas to firms using an auction ensures that they are only issued to the workers with the most in-demand skills and experience, rather than to replace native workers when they are widely available.

Limited by NAICS codes

To ensure this pathway is narrowly targeted to the chipmaking industry and closely associated suppliers, use of the visa (and the employment authorization it provides) will be restricted by North American Industry Classification System (NAICS) industry code. Commerce will publish an annual list of eligible NAICS codes derived from a regularly occurring supply chain analysis. Such analysis will identify relevant NAICS codes of semiconductor producers and those of mutually dependent industries and report its findings to Congress.

Broad work authorization

While large existing firms clearly have an important role to play in this industry, the success of a leading-edge, globally competitive industry in the U.S. will ultimately depend in part on its dynamism and competitive dynamics. The ability of young firms with fresh ideas and talent to challenge incumbent leaders—long a critical feature of the American economy that drives productivity growth—will be essential to stoking innovation in chipmakers new and old. Therefore, the Chipmaker’s Visa should be easy for early-stage startups to access.

While industrial policy in other countries often takes the form of structuring policy around large incumbent firms and so-called “national champions,” America’s global advantage is our culture and history of dynamism and entrepreneurship. This is why half of the world’s unicorns—private startups valued at $1 billion or more—are in the U.S.[5] It is also at the center of the origin of the semiconductor industry in the U.S., when employees of the once-dominant Fairchild Semiconductor left to create dozens of important startups like Intel, National Semiconductor, and AMD.

Leaning into the strengths of the U.S. economy means crafting industrial policy that facilitates the rise of challengers and gives startups easy access not only to the same levers of support as larger peers, but also to the global talent pool. Chipmaker’s Visa holders would be free to work for any other qualifying semiconductor firm up and down the greater supply chain as defined by the U.S. Department of Commerce. While a more limited work authorization may seem to benefit an individual large firm, it is ultimately harmful to the industry’s long-term ability to learn and adapt in a hyper-competitive globalized market.

For this reason, big firms should be limited in the number of Chipmaker’s Visas they can utilize. No firm should be able to purchase more than one-quarter of available visas in a given year, giving a chance for smaller suppliers and their potential challengers to compete in the labor market for critical talent.

Salary floor to ensure high labor standards

While employers should have the flexibility to recruit the workers most valuable to the task of quickly building fabs and scaling up production, this visa program should come with a reasonable salary floor safeguard pegged at the national median earnings for full-time workers to ensure the visa is not used for low-skilled, low-wage labor. While we anticipate the vast majority of Chipmaker’s Visa users will be highly paid engineers or managers, some may be tradesmen. This benchmark is approximately in line with the median annual pay of pipefitters, plumbers, and steamfitters, for example.[6]

Path to a green card after five years of sufficient earnings

Retaining the talent brought into the Chipmaker’s Visa is firmly in the country’s and industry’s best interest.

Under the status quo policy, discriminatory per-country caps detract from semiconductor firms’ ability to recruit and retain talent from across the world. At the same time, burdensome labor market tests and prevailing wage determinations that take many months add costs to firms and existing employees being sponsored for permanent residency without yielding any obvious public benefit. The Chipmaker’s Visa would cut through these broken processes, making an exception for a pressing national priority: attracting and retaining the world’s top semiconductor talent for our own firms and facilities. Therefore, the Chipmaker’s Visa will have a smooth, seamless path to permanent residency for anyone who earns at the 75th percentile of personal income (about $80,000 in 2021) for five consecutive years, exempting them from per-country caps, prevailing wage determinations, and the Permanent Labor Certification process. Upon meeting these conditions, workers will be able to self-sponsor and receive a quick decision from U.S. Citizenship and Immigration Services

This system that replaces opaque bureaucracy with clear and transparent requirements would increase certainty for both high-skilled immigrants and the firms that employ them—if someone is contributing significantly to the U.S. economy in a crucial industry and is following the rules, there should be no doubt from them or their employer that they are welcome to stay.

Dedicate visa auction fees to training American workers

Any chip industry-specific visa reform should be laser-focused on expanding the relevant skilled workforce overall. Allowing practicing companies greater access to the global chipmaking talent pool will facilitate learning among American workers, universities, and workforce training programs over time. However, we can also speed up this process by earmarking all visa auction revenue in excess of that needed to cover operating costs towards workforce development and domestic scholarships for students and workers up and down the semiconductor supply chain. Creating this new dedicated funding stream will accelerate the upskilling of American workers and make the United States a more attractive place for the world’s top firms to invest in the long-run. Revenue could, for example, be split between the National Semiconductor Technology Center—tasked in part with identifying and scaling relevant workforce training programs—and the National Science Foundation’s CHIPS for America Workforce and Education Fund, which issues workforce development grants.

One conservative estimate suggests that switching to an auction system for H-1B visas would yield a price of about $5,000 per visa.[7] This estimate is a plausible price for our proposed Chipmaker’s Visa, suggesting the program could raise approximately $50 million annually or $500 million over the life of the program. This revenue could fund thousands of scholarships for upskilling or reskilling American workers or help scale-up ongoing training programs in communities building out their semiconductor industries.

Conclusion: A Narrow, Targeted Solution for a Bipartisan Priority

The Chipmaker’s Visa represents a bipartisan pathway to addressing bottlenecks to scaling up semiconductor production without reopening more fundamental questions about national immigration policy. It is narrowly tailored to the problem at hand, focused exclusively on what is a pressing bipartisan national priority. As an act of Congress, it would also be resilient to Executive Branch changes to immigration policy from one administration to the next. The ultimate success of the CHIPS and Science Act is by no means assured, but it is critical that we follow through and equip the funding that was appropriated with the other tools the sector and the country needs to finish the job. Well-designed immigration reform is the first such critical next step.

Notes

  1. Hunt, Will, “” Center for Security and Emerging Technology, 2022.
  2. Miller, Chris. Chip War: The Fight for the World’s Most Critical Technology, 2022.
  3. Mak, Robyn, Reuters, 2022.
  4. Esterline, Cecilia, Niskanen Center, 2023.
  5. CB Insights.
  6. Bureau of Labor Statistics.
  7. Orrenius, Pia M., Giovanni Peri, and Madeline Zavodny, The Hamilton Project, 2013.

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