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Migrating out of mega-cities: Evidence from Brazil

Author

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  • Egger Eva-Maria

    (United Nations University World Institute for Development Economics Research (UNU-WIDER), Rua da Argélia 116, Maputo, Mozambique)

Abstract

Traditional economic models predict rural to urban migration during the structural transformation of an economy. In middle-income countries, it is less clear which direction of migration to expect. In this article, the author shows that in Brazil as many people move out as into metropolitan cities and they mostly move to mid-sized towns. The author estimates the determinants of out-migrants’ destination choice accounting for differences in earnings, living costs, and amenities and tested whether the migrants gain economically by accepting lower wages but enjoying lower living costs. The findings suggest that in their destination choice, out-migrants aim to minimize costs of moving. On average, city-leavers realize higher real wages, including low-skilled migrants who would lose in nominal terms. The article thus provides new evidence on economic incentives to leave big cities in a middle-income country.

Suggested Citation

  • Egger Eva-Maria, 2021. "Migrating out of mega-cities: Evidence from Brazil," IZA Journal of Development and Migration, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 12(1), pages 1-35, January.
  • Handle: RePEc:vrs:izajdm:v:12:y:2021:i:1:p:35:n:5
    DOI: 10.2478/izajodm-2021-0003
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    More about this item

    Keywords

    internal migration; secondary towns; living costs; Brazil;
    All these keywords.

    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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