Winning the visa lottery

Original Article ↗ Hacker News Discussion ↗

Economists analyzing a U.S. visa lottery for temporary low‑skill workers find that when firms lose access to these foreign hires, they tend to shrink rather than replace them with American workers, suggesting immigration limits can reduce overall employment and output instead of protecting local jobs. Commenters probe how far such results generalize, raising concerns about wage suppression, housing pressures, unequal impacts on low‑skill natives, and differences between U.S. and European immigration outcomes, while also noting that attitudes toward immigration are often driven more by identity, crime fears, and ideology than by data.

Facts, Ideology, and Persuasion

  • Several comments argue that in polarized politics, more “facts” rarely change minds; people ignore or reframe them to fit existing worldviews.
  • Distinction drawn between factual disagreements and value/preference conflicts: data can’t resolve “I prefer X outcome” arguments.
  • Marketing “positioning” and political labeling seen as powerful: people respond more to categories/frames (“terrorist”, “Uncola”) than raw evidence.
  • Some note that in social sciences, results are fragile, context‑dependent, and easily cherry‑picked to support ideology.
  • Cited work suggests large language models can outperform humans in persuasion, possibly because they sound more evidence‑based and less emotional.

Study Design, Elasticity, and Limits

  • The visa‑lottery design is praised for reducing selection bias (firms are randomly allowed/denied workers).
  • Others stress scope limits: only H‑2B, seasonal, low‑skill firms; results don’t generalize to all immigration or to long‑run wages, housing, or competitors.
  • Elasticity estimates (substitutability between foreign and domestic workers) are debated; some find the numbers hard to interpret or potentially masking heterogeneous effects.

Jobs, Wages, and Firm Behavior

  • Core finding discussed: firms denied foreign workers shrink rather than hire more natives; aggregate US employment effect is zero or mildly positive, stronger in rural subsamples.
  • Critics note that only some firms lost visas; a universal ban might yield different dynamics.
  • Recurrent theme: in many sectors, if workers aren’t available at feasible cost, output simply doesn’t happen (e.g., berries rotting in fields), rather than wages rising enough to attract locals.
  • Others argue employers could raise wages dramatically (e.g., 100–200%) but choose not to, especially when migrant labor or offshoring is available.

Housing and “Low-Skill” Work

  • Some complain the article underemphasizes housing constraints; more workers need more housing.
  • Counterpoint: H‑2B workers are temporary, often housed on‑site; long‑term housing impact may be limited.
  • Several argue “low‑skill” is misleading: many such jobs require speed, reliability, and tacit expertise; replacing experienced migrants with locals is not trivial.
  • One view: immigrant construction labor is crucial for expanding housing supply; excluding them raises building costs more than it reduces demand.

Immigration, Crime, and Cultural Concerns

  • Many commenters say real political fears are less about jobs and more about crime, social cohesion, and national identity.
  • Crime data claims are contested: some cite over‑representation of certain immigrant groups in European prisons; others highlight context (segregation, socioeconomic factors, data limitations, and policy taboos).
  • Debate over whether governments and elites downplay negative externalities (crime, cultural clashes) and thus fuel far‑right backlash.

High-Skill Visas and Distributional Effects

  • For high‑skill programs like H‑1B, commenters note mixed incentives: firms gain cheaper or more “pliable” labor; natives may face wage pressure or displacement, especially in low‑margin sectors.
  • Others report chronic difficulty finding qualified workers at any wage in some tech niches, arguing visas enable growth rather than substitution.
  • Broader literature (as summarized in the thread) is described as mixed: small net effects on average native wages/employment, but concentrated harms for low‑skill natives and prior immigrants.
  • A proposed “immigrant dividend” idea appears: charge employers a substantial fee per immigrant hire and redistribute to those most adversely affected, to align private gains with public costs.

Global Comparisons and Automation

  • Comparisons drawn to Denmark’s refugee experience (displacement plus later upskilling), European integration struggles, and Japan/China’s emphasis on automation or internal migration over large‑scale foreign labor.
  • Some speculate that without migrant inflows, firms would lean harder into automation, but acknowledge that many businesses, especially seasonal ones, may simply downsize or disappear instead.