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Buying Lottery Tickets for Foreign Workers: Lost Quota Rents Induced by H-1B Policy

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Listed:
  • Rishi Sharma

    (Rishi Sharma)

  • Chad Sparber

    (Chad Sparber)

Abstract

The H-1B program allows firms in the United States to temporarily hire high skilled foreign citizens. The government restricts foreign labor inflows and therefore generates potential rents typical of a quota. However, the US allocates H-1B status by random lottery. We develop a theoretical model demonstrating that this lottery creates a negative externality by incentivizing firms to search for more workers than can actually be hired and, in so doing, completely destroys quota rents. Moreover, some firms specialize in hiring foreign labor and contracting out those workers’ services to third-party sites, and this outsourcing behavior both exacerbates lost quota rents and leads to an increased concentration of H-1B workers among a small number of firms. Simple numerical exercises suggest that the H-1B lottery and outsourcing result in an annual economic loss exceeding $10,000 per new H-1B worker hired relative to what would occur under a quota alone.

Suggested Citation

  • Rishi Sharma & Chad Sparber, 2022. "Buying Lottery Tickets for Foreign Workers: Lost Quota Rents Induced by H-1B Policy," RF Berlin - CReAM Discussion Paper Series 2221, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
  • Handle: RePEc:crm:wpaper:2221
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    References listed on IDEAS

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    More about this item

    Keywords

    Skilled Workers; H-1B; Quota Rents; Outsourcing;
    All these keywords.

    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration

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