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Taking the Skill Bias out of Global Migration

Author

Listed:
  • Costanza Biavaschi
  • Micha? Burzynski
  • Benjamin Elsner
  • Joël Machado
Abstract
Global migration is heavily skill-biased, with tertiary-educated workers being four times more likely to migrate than workers with a lower education. In this paper, we quantify the global impact of this skill bias in migration. Based on a quantitative multi-country model with trade, we compare the current world to a counterfactual with the same number of migrants, where all migrants are neutrally selected from their countries of origin. We find that most receiving countries benefit from the skill bias in migration, while a small number of sending countries is significantly worse off. The negative effect in many sending countries is completely eliminated — and often reversed — once we account for remittances and additional migration-related externalities. In a model with all our extensions, the average welfare effect of skill-biased migration in both OECD and non-OECD countries is positive.

Suggested Citation

  • Costanza Biavaschi & Micha? Burzynski & Benjamin Elsner & Joël Machado, 2018. "Taking the Skill Bias out of Global Migration," Working Papers 201808, School of Economics, University College Dublin.
    • Handle: RePEc:ucn:wpaper:201808
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    File URL: http://hdl.handle.net/10197/9449
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    More about this item

    Keywords

    Migration; Skill selection; Global welfare;
    All these keywords.

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

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