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Internal Migration, Selection Bias and Human Development: Evidence from Indonesia and Mexico

Author

Listed:
  • Partha Deb

    (Department of Economics, Hunter College and the Graduate Center, City University of New York)

  • Papa Seck

    (Human Development Report Office, United Nations Development Programme)

Abstract

The aim of this paper is to measure the returns to migration using non-experimental data taking both observed and unobserved characteristics into account. A significant challenge related to migration research and the issues of unobserved heterogeneity is that the standard 2stage least squares estimator (2SLS) is strictly only applicable to situations with linear and continuous treatment and outcomes, both of which are not appropriate for models of migration and many outcomes of interest. Furthermore, migration is not always a binary process given that people migrate to city or non-city locations and some migrants do return. Introducing these multinomial treatment effects means that one cannot rely on standard 2SLS methods. Using panel data from Indonesia (Indonesia Family Life Survey—IFLS) and Mexico (Mexican Family Life Survey— MxFLS) and applying non-linear instrumental variable (Heckman’s treatment effects model) and maximum simulated likelihood models, we measure the impacts of migration on a broad range of variables that include socio economic outcomes such as consumption, nutrition, health status and emotional well-being for adult household members and health and schooling outcomes for children. We find consistent results for both countries that point to significant trade-offs related to migration. We found that migration can greatly improve socio-economic status through increases in income or consumption but can also be detrimental to the health status and emotional well-being of migrants and/or their extended families.

Suggested Citation

  • Partha Deb & Papa Seck, 2009. "Internal Migration, Selection Bias and Human Development: Evidence from Indonesia and Mexico," Human Development Research Papers (2009 to present) HDRP-2009-31, Human Development Report Office (HDRO), United Nations Development Programme (UNDP), revised Jul 2009.
  • Handle: RePEc:hdr:papers:hdrp-2009-31
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    References listed on IDEAS

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    1. Mutenje, Munyaradzi & Kankwamba, Henry & Mangisonib, Julius & Kassie, Menale, 2016. "Agricultural innovations and food security in Malawi: Gender dynamics, institutions and market implications," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 240-248.
    2. repec:rfh:bbejor:v:6:y:2017:i:2:p:74-91 is not listed on IDEAS
    3. Lu, Yao, 2012. "Household migration, social support, and psychosocial health: The perspective from migrant-sending areas," Social Science & Medicine, Elsevier, vol. 74(2), pages 135-142.
    4. Calub, Renz Adrian, 2014. "Physician quality and payment schemes: A theoretical and empirical analysis," MPRA Paper 66038, University Library of Munich, Germany.
    5. Kleemans, Marieke, 2015. "Migration Choice under Risk and Liquidity Constraints," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 200702, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    6. Cem Oyvat & Mwangi wa Githinji, 2017. "Migration in Kenya : Beyond Harris-Todaro," UMASS Amherst Economics Working Papers 2017-02, University of Massachusetts Amherst, Department of Economics.
    7. Zahabi, Seyed & Miranda-Moreno, Luis & Patterson, Zachary & Barla, Philippe, 2012. "Evaluating the effects of land use and strategies for parking and transit supply on mode choice of downtown commuters," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(2), pages 103-119.
    8. Aaron Gutiérrez & Daniel Miravet, 2016. "The Determinants of Tourist Use of Public Transport at the Destination," Sustainability, MDPI, Open Access Journal, vol. 8(9), pages 1-16, September.

    More about this item

    Keywords

    Migration; selection; non-linear instrumental variables; consumption; socio-economic mobility; health; education;

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration

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