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Social Learning along International Migrant Networks

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  • Tian, Yuan

    (Carnegie Mellon University)

  • Caballero, Maria Esther

    (Carnegie Mellon University)

  • Kovak, Brian K.

    (Carnegie Mellon University)

Abstract

We document the transmission of social distancing practices from the United States to Mexico along migrant networks during the early 2020 Covid-19 pandemic. Using data on pre-existing migrant connections between Mexican and U.S. locations and mobile-phone tracking data revealing social distancing behavior, we find larger declines in mobility in Mexican regions whose emigrants live in U.S. locations with stronger social distancing practices. We rule out confounding pre-trends and use a variety of controls and an instrumental variables strategy based on U.S. stay-at-home orders to rule out the potential influence of disease transmission and migrant sorting between similar locations. Given this evidence, we conclude that our findings represent the effect of information transmission between Mexican migrants living in the U.S. and residents of their home locations in Mexico. Our results demonstrate the importance of personal connections when policymakers seek to change fundamental social behaviors.

Suggested Citation

  • Tian, Yuan & Caballero, Maria Esther & Kovak, Brian K., 2020. "Social Learning along International Migrant Networks," IZA Discussion Papers 13574, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp13574
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    Cited by:

    1. Caballero, María Esther & Cadena, Brian C. & Kovak, Brian K., 2023. "The international transmission of local economic shocks through migrant networks," Journal of International Economics, Elsevier, vol. 145(C).
    2. Valsecchi, Michele & Durante, Ruben, 2021. "Internal migration networks and mortality in home communities: Evidence from Italy during the Covid-19 pandemic," European Economic Review, Elsevier, vol. 140(C).
    3. Hillel Rapoport & Sulin Sardoschau & Arthur Silve, 2020. "Migration and Cultural Change," Working Papers 2020-10, CEPII research center.
    4. Michael Bailey & Drew M. Johnston & Martin Koenen & Theresa Kuchler & Dominic Russel & Johannes Stroebel, 2020. "Social Networks Shape Beliefs and Behavior: Evidence from Social Distancing During the COVID-19 Pandemic," NBER Working Papers 28234, National Bureau of Economic Research, Inc.
    5. Maxim Ananyev & Michael Poyker & Yuan Tian, 2021. "The safest time to fly: pandemic response in the era of Fox News," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(3), pages 775-802, July.
    6. Michael Bailey & Drew Johnston & Martin Koenen & Theresa Kuchler & Dominic Russel & Johannes Stroebel, 2020. "Social Distancing during a Pandemic: The Role of Friends," CESifo Working Paper Series 8771, CESifo.
    7. Theresa Kuchler & Johannes Stroebel, 2022. "Social Interactions, Resilience, and Access to Economic Opportunity: A Research Agenda for the Field of Computational Social Science," CESifo Working Paper Series 9606, CESifo.
    8. Arteaga, Julian & Shenoy, Ashish, 2022. "Mexican migration flows and agricultural labor markets in the U.S," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322311, Agricultural and Applied Economics Association.

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    More about this item

    Keywords

    Mexico-U.S.; migration; social learning; network; COVID-19;
    All these keywords.

    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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