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The Impact of Technology on Migration to the United States from Central America and the Dominican Republic

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  • Viollaz, Mariana
  • Laguinge, Luis
  • Moroz, Harry

Abstract

Labor markets in Central America and the Dominican Republic face limited direct impacts from technological advancements compared to developed countries. However, substantial migration flows to high-income countries, particularly the United States, mean that the impacts of technological change do not stop at country borders. During the past 50 years, recent migrants from both Central America and the Dominican Republic and other countries, like US nonmigrant workers, have shifted out of production jobs requiring (automatable) routine manual and cognitive skills. Although recent non–Central America and the Dominican Republic migrants and US nonmigrants transitioned to higher-skilled work intensive in nonroutine cognitive and interpersonal tasks (for example, management), recent migrants from Central America and the Dominican Republic shifted toward jobs intensive in nonroutine manual tasks (for example, construction) and, to a lesser extent, in nonroutine interpersonal tasks (for example, serving). In essence, migrants from other middle- and high-income countries have benefited from the same technology-skill complementarity as nonmigrant US workers, whereas migrants from Central America and the Dominican Republic seem to have filled the lower-skilled jobs created alongside technological advancement. The low-skill bias of migrants from Central America and the Dominican Republic suggests greater vulnerability to disruption from artificial intelligence and mobile robotics, but less from language models like ChatGPT. Closer analysis of US robot adoption between 2000 and 2019 shows no effect on total migration flows from Central America and the Dominican Republic but impacts on high-skilled flows between 2010 and 2019. US robot adoption in the early 2000s improved labor market outcomes for high-skilled migrants from Central America and the Dominican Republic but in low-skilled, nonroutine occupations. Between 2010 and 2019, the demand expansion effect that seems to explain this improvement weakened. Robot adoption led to less demand for high-educated migrants from Central America and the Dominican Republic during this latter decade.

Suggested Citation

  • Viollaz, Mariana & Laguinge, Luis & Moroz, Harry, 2025. "The Impact of Technology on Migration to the United States from Central America and the Dominican Republic," Policy Research Working Paper Series 11251, The World Bank.
    • Handle: RePEc:wbk:wbrwps:11251
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    References listed on IDEAS

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    1. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    2. Gaetano Basso & Giovanni Peri & Ahmed S. Rahman, 2020. "Computerization and immigration: Theory and evidence from the United States," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(4), pages 1457-1494, November.
    3. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    4. Laura Abramovsky & Rachel Griffith, 2006. "Outsourcing and Offshoring of Business Services: How Important is ICT?," Journal of the European Economic Association, MIT Press, vol. 4(2-3), pages 594-601, 04-05.
    5. Bachmann, Ronald & Demir, Gökay & Green, Colin P. & Uhlendorff, Arne, 2022. "The Role of Within-Occupation Task Changes in Wage Development," IZA Discussion Papers 15647, Institute of Labor Economics (IZA).
    6. Semih AKÇOMAK & Suzanne KOK & Hugo ROJAS-ROMAGOSA, 2016. "Technology, offshoring and the task content of occupations in the United Kingdom," International Labour Review, International Labour Organization, vol. 155(2), pages 201-230, June.
    7. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue nov.
    8. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
    9. Michel Beine & Fréderic Docquier & Hillel Rapoport, 2008. "Brain Drain and Human Capital Formation in Developing Countries: Winners and Losers," Economic Journal, Royal Economic Society, vol. 118(528), pages 631-652, April.
    10. Dirk Antonczyk & Thomas DeLeire & Bernd Fitzenberger, 2018. "Polarization and Rising Wage Inequality: Comparing the U.S. and Germany," Econometrics, MDPI, vol. 6(2), pages 1-33, April.
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