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Testing classic theories of migration in the lab

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  • Batista, Catia
  • McKenzie, David

Abstract

We test different classic migration theories by using incentivized laboratory experiments to investigate how potential migrants decide between working in different destinations. We assess theories of income maximization, skill-selection, and multi-destination choice, as we vary migration costs, risk, social benefits, and incomplete information. The standard income maximization model leads to a much higher migration rate and more negative skill-selection than occurs when migration decisions take place under more realistic assumptions. The independence of irrelevant alternatives assumption mostly holds when decisions just involve wages and moving costs, but breaks down once we add risk and incomplete information. Cost-minimization, rather than income maximization, seems to be key in some migration decisions. The deviations found in our study between migration decisions and the predictions of classic migration theories call for richer models of migration to explain global migration patterns.

Suggested Citation

  • Batista, Catia & McKenzie, David, 2023. "Testing classic theories of migration in the lab," Journal of International Economics, Elsevier, vol. 145(C).
    • Handle: RePEc:eee:inecon:v:145:y:2023:i:c:s0022199623001125
    DOI: 10.1016/j.jinteco.2023.103826
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    1. Emily A. Beam & David McKenzie & Dean Yang, 2016. "Unilateral Facilitation Does Not Raise International Labor Migration from the Philippines," Economic Development and Cultural Change, University of Chicago Press, vol. 64(2), pages 323-368.
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    13. Daniel Chiquiar & Gordon H. Hanson, 2005. "International Migration, Self-Selection, and the Distribution of Wages: Evidence from Mexico and the United States," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 239-281, April.
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    15. Tijan L. Bah & Cátia Batista, 2018. "Understanding willingness to migrate illegally: Evidence from a lab in the field experiment," NOVAFRICA Working Paper Series wp1803, Universidade Nova de Lisboa, Nova School of Business and Economics, NOVAFRICA.
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    Cited by:

    1. Jules Gazeaud & Eric Mvukiyehe & Olivier Sterck, 2023. "Cash Transfers and Migration: Theory and Evidence from a Randomized Controlled Trial," The Review of Economics and Statistics, MIT Press, vol. 105(1), pages 143-157, January.
    2. Didier Ruedin, 2021. "Decision-Making Under Uncertainty: African Migrants in the Spotlight," Social Inclusion, Cogitatio Press, vol. 9(1), pages 182-185.
    3. Catia Batista & Pedro C. Vicente, 2018. "Is mobile money changing rural Africa? Evidence from a field experiment," NOVAFRICA Working Paper Series wp1805, Universidade Nova de Lisboa, Nova School of Business and Economics, NOVAFRICA.
    4. Bah, Tijan L. & Batista, Catia & Gubert, Flore & McKenzie, David, 2023. "Can information and alternatives to irregular migration reduce “backway” migration from The Gambia?," Journal of Development Economics, Elsevier, vol. 165(C).
    5. Kerstin Mitterbacher & Stefan Palan & Jürgen Fleiß, 2021. "Labor market choices of migrants and redistributive policies," Working Paper Series, Social and Economic Sciences 2021-02, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    6. Frohnweiler, Sarah & Beber, Bernd & Ebert, Cara, 2022. "Information Frictions, Belief Updating and Internal Migration: Evidence from Ghana and Uganda," IZA Discussion Papers 15826, Institute of Labor Economics (IZA).
    7. Tijan L. Bah & Cátia Batista, 2018. "Understanding willingness to migrate illegally: Evidence from a lab in the field experiment," NOVAFRICA Working Paper Series wp1803, Universidade Nova de Lisboa, Nova School of Business and Economics, NOVAFRICA.

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    More about this item

    Keywords

    Migrant selection; Destination choice; Lab experiment; IIA;
    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
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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