Immigration Policy and Labor Markets: What the Data Actually Shows

Immigration policy is, at its core, a labor-market tool. It changes the size, skills mix, and geographic distribution of the workforce, often through administrative tweaks that never see a congressional floor vote. For the analysts, budget officers, and program managers who have to make this work on the ground, the real question isn’t whether immigration is “good” or “bad” in some abstract sense. It’s who benefits, who gets squeezed, and whether the implementing agencies have the capacity to turn a statute into something that functions. This article walks through the channels that matter most: wage floors, occupational sorting, fiscal spillovers, and the messy administrative realities that press releases tend to skip.

The Administrative Architecture of Labor Supply

Immigration doesn’t just add workers; it adds workers sorted into very specific legal buckets—H-1Bs, H-2As, asylees with pending employment authorization, TPS holders, and so on. Each bucket comes with its own rules about job mobility, employer obligations, and geographic flexibility. A workforce board in the Rio Grande Valley deals with a fundamentally different labor supply than one in suburban Minneapolis, not just because of geography but because the administrative categories of immigrants in those places differ sharply. In FY2022, over 68% of approved H-1B petitions were for computer-related occupations, according to USCIS data. Meanwhile, the H-2A program channels workers into agriculture, where the Department of Labor’s own surveys show that half of all crop workers are unauthorized. These aren’t just demographic facts; they’re the product of policy choices that sort workers into specific rungs of the job ladder.

For practitioners, ignoring these administrative distinctions is a recipe for bad program design. A workforce development initiative that assumes a generic “immigrant worker” will miss the fact that an H-1B holder can’t easily switch employers, while a recently paroled individual might be waiting months for an employment authorization document. The legal superstructure shapes the labor market as much as supply and demand do.

Wage Effects: Averages Mask the Distribution

The headline finding from the 2017 National Academies report is that immigration has, on average, a small effect on native-born wages. But averages are a poor way to understand a policy that hits different groups in radically different ways. The same report found that prior immigrants and native-born workers without a high school diploma can experience measurable wage declines. This isn’t an aggregate story; it’s a distributional one. A policy that adds 0.3% to GDP while shaving 2% off the wages of the bottom decile isn’t a win-win. It’s a trade-off, and trade-offs demand normative choices that are rarely spelled out in the talking points.

Look at the 2020–2023 window. Border encounters spiked, and DHS released hundreds of thousands of migrants into interior communities, often with work authorization timelines that varied by nationality and parole program. The labor-market effects of those releases are still being measured, but early state-level employment data hint at a pattern: sectors with a heavy concentration of recent arrivals—hospitality, construction, food manufacturing—saw slower wage growth in 2023 than sectors with fewer new entrants. That’s not proof of causation. But it’s a signal that deserves serious attention, the kind that could be pursued if the Census Bureau’s Longitudinal Employer-Household Dynamics program had stronger interagency data-sharing agreements in place.

Licensing and the Skill Downgrade Problem

One channel that doesn’t get enough attention is occupational licensing. About 22% of U.S. workers need a license to do their jobs, and requirements vary state by state. Immigrants, especially those with foreign degrees, run into a wall of non-recognition. The Migration Policy Institute has documented that college-educated immigrants are far more likely than their native-born peers to end up in jobs that don’t require a bachelor’s degree. This skill downgrading depresses wages in lower-skill occupations and wastes the productivity gains that high-skill immigration could deliver. For state policymakers, reforming license portability and foreign credential recognition is a labor-market intervention that doesn’t need a federal immigration bill. It can be evaluated using state administrative data from licensing boards and unemployment insurance wage records—if the political will exists to do it.

Fiscal Incidence: The Local Budget Squeeze

Immigration policy also works through fiscal channels. Immigrants pay taxes and use public services, and the net effect depends on which level of government you’re looking at. The National Academies report found that first-generation immigrants tend to be a net cost for state and local governments—mostly because of school spending on their kids—while the federal government comes out ahead. This vertical mismatch means that a school district in a Texas border county or a public hospital system in New York City can end up holding the bag for costs that federal funds don’t fully cover. The result is pressure on local budgets that can affect public-sector hiring, infrastructure, and the quality of services that native-born workers rely on when deciding where to live and work.

State budget offices and county executives should pay close attention to the fiscal notes attached to immigration policy changes. When the Biden administration extended Temporary Protected Status to Venezuelan nationals in 2023 and made them eligible for work authorization, the fiscal impact on local social service agencies hinged on how fast those individuals found jobs and moved off emergency assistance. Without real-time data on program enrollment and wage reporting, those effects are estimated with a lag that makes mid-year budget adjustments a guessing game.

Enforcement and the Shadow Economy

Immigration enforcement is labor-market policy by another name. Worksite raids, E-Verify mandates, and the ever-present threat of deportation shape how employers behave and how much bargaining power workers have. When enforcement is weak, unauthorized workers cluster in sectors where labor standards are already low—agriculture, construction, hospitality, domestic work—and their presence can drag down wages and conditions for everyone in those jobs. When enforcement tightens, as it did during the 2008–2012 surge in I-9 audits, some employers shift toward formal arrangements, but plenty of others just subcontract to labor intermediaries that absorb the legal risk. The net effect on formality is murky and depends on how enforcement is structured, not just how aggressive it is.

A 2023 study in the Journal of Policy Analysis and Management looked at state-level E-Verify mandates in construction. The mandates reduced employment of likely unauthorized workers, but they also shrank overall construction employment, with no clear evidence that native-born workers backfilled the jobs. That substitution failure shows up repeatedly in the literature. It suggests that enforcement-only approaches can shrink the labor market rather than reallocate jobs to authorized workers. For workforce agencies, the implication is clear: enforcement changes should be paired with training and placement programs aimed at the specific occupations and regions that will feel the impact.

Administrative Capacity: Where Policy Meets Reality

No immigration policy runs itself. The distance between what a statute says and what actually happens on the ground is determined by administrative capacity: staffing at USCIS, processing times for employment authorization documents, whether the data systems at DOL and DHS can talk to each other. In 2023, USCIS processing times for employment authorization applications stretched past six months for some categories. That left eligible immigrants in legal limbo and employers with unfilled positions. These delays aren’t just bureaucratic annoyances; they’re labor-market frictions. They slow the response of labor supply to demand shocks and can push both workers and employers into informal arrangements.

State and local practitioners can’t do much about federal processing times, but they can improve coordination. States that integrate their workforce agency data with USCIS’s SAVE system can verify work authorization faster, cutting the time between eligibility and employment. It’s a mundane fix, but the labor-market effects—quicker job matching, less informality—are real and measurable.

Tight Labor Markets and the Immigration Buffer

When the labor market is tight, the distributional math changes. Low unemployment and high vacancies mute the wage-depressing effects of immigration, and the productivity-enhancing effects—through complementarity with native-born workers—can take over. The post-pandemic U.S. labor market, with unemployment below 4% for most of 2022–2024, is a good example. Sectors that lean heavily on immigrant labor, like leisure and hospitality, saw rapid wage growth even as immigration levels rose. That doesn’t mean immigration never depresses wages. It means the sign and size of the effect depend on the state of the labor market, a point that often gets lost in debates that treat immigration as a constant-pressure hose rather than a variable flow.

For practitioners, this means immigration policy should be evaluated against the business cycle. A policy that expands temporary work visas during a recession may have very different effects than the same policy during a labor shortage. The Department of Labor’s labor certification process—where employers must show no qualified U.S. workers are available—relies on occupation- and geography-specific tests. But those tests often use lagged data and can miss rapid shifts in demand. Making them more timely and granular is a technical challenge with real distributional stakes.

FAQ: Immigration Policy and Labor Markets

Does immigration reduce wages for native-born workers?

The best evidence, including the 2017 National Academies report, shows that immigration has small average effects on native-born wages but can reduce wages for prior immigrants and native-born workers without a high school diploma. The effects are concentrated in specific occupations and regions, and they depend on the state of the labor market. Claims that immigration uniformly depresses or raises wages aren’t backed by the data.

How do guestworker programs affect domestic workers?

Programs like H-2A and H-2B tie workers to specific employers, which reduces labor market competition and can depress wages in affected occupations. The Department of Labor’s prevailing wage determinations are supposed to prevent this, but enforcement is spotty. Studies of the H-2A program have found that actual wages paid to guestworkers often fall below the prevailing wage, and that the presence of H-2A workers is associated with lower wages for domestic farmworkers in the same area.

What administrative data sources are most useful for analyzing immigration-labor linkages?

State unemployment insurance wage records, linked to immigration status indicators where legally permissible, are the gold standard for measuring employment and earnings effects. The Census Bureau’s Longitudinal Employer-Household Dynamics program provides job-to-job flow data that can be disaggregated by nativity and citizenship. USCIS administrative records on visa approvals and employment authorization documents are essential but often hard for researchers to access. Practitioners should push for better data-sharing agreements between DOL, DHS, and state workforce agencies.

How does immigration affect public-sector employment and budgets?

Immigrants are net contributors to federal budgets but can impose net costs on state and local governments, mainly through education and health care spending. These fiscal effects influence public-sector employment and service delivery. Localities with high immigrant concentrations may face budget pressures that affect the quality of public services, which in turn can influence the labor supply decisions of native-born workers. The fiscal impact depends on the age structure, education levels, and legal status of the immigrant population, as well as the structure of state and local tax systems.

Conclusion: From Press Releases to Administrative Practice

Immigration policy is too often debated as a symbolic issue, with advocates and opponents citing aggregate studies that hide more than they reveal. For the practitioner who has to run a workforce program, set licensing standards, or balance a county budget, the relevant unit of analysis is the administrative category, the local labor market, and the distributional margin. The question isn’t whether immigration is good for the economy. It’s whether a specific policy change—a new visa category, a shift in enforcement priorities, a federal grant for refugee resettlement—will improve outcomes for the populations an agency is mandated to serve, and at what cost to other populations. Answering that question takes better data, more rigorous evaluation, and a willingness to admit that even well-designed policies create losers. This publication will keep examining those distributional margins, with a focus on the administrative data and institutional details that turn statutory language into lived experience.

Next in this series: a granular look at H-2A prevailing wage methodology and its effects on domestic farmworker earnings in California and Florida.