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Risk sharing and internal migration

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  • De Weerdt, Joachim
  • Hirvonen, Kalle

Abstract

Over the past two decades, more than half the population in rural Tanzania migrated within the country, profoundly changing the nature of traditional institutions such as informal risk sharing. Mass internal migration has created geographically disperse networks, on which the authors collected detailed panel data. By quantifying how shocks and consumption co-vary across linked households, they show how migrants unilaterally insure their extended family members at home. This finding contradicts risk-sharing models based on reciprocity, but is consistent with assistance driven by social norms. Migrants sacrifice 3 to 7 percent of their very substantial consumption growth to provide this insurance, which seems too trivial to have any stifling effect on their growth through migration.

Suggested Citation

  • De Weerdt, Joachim & Hirvonen, Kalle, 2013. "Risk sharing and internal migration," Policy Research Working Paper Series 6429, The World Bank.
  • Handle: RePEc:wbk:wbrwps:6429
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    Cited by:

    1. Evelyne Lazaro & Jytte Agergaard & Marianne Nylandsted Larsen & Jeremia Makindara & Torben Birch-Thomsen, 2019. "Urbanisation in Rural Regions: The Emergence of Urban Centres in Tanzania," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 31(1), pages 72-94, January.
    2. Ambler, Kate, 2015. "Don't tell on me: Experimental evidence of asymmetric information in transnational households," Journal of Development Economics, Elsevier, vol. 113(C), pages 52-69.
    3. Julia Bredtmann & Fernanda Martínez Flores & Sebastian Otten, 2019. "Remittances and the Brain Drain: Evidence from Microdata for Sub-Saharan Africa," Journal of Development Studies, Taylor & Francis Journals, vol. 55(7), pages 1455-1476, July.
    4. Corno, Lucia & Voena, Alessandra, 2023. "Child marriage as informal insurance: Empirical evidence and policy simulations," Journal of Development Economics, Elsevier, vol. 162(C).
    5. Orazio Attanasio & Sonya Krutikova, 2020. "Consumption Insurance in Networks with Asymmetric Information," NBER Working Papers 27290, National Bureau of Economic Research, Inc.
    6. Parag Mahajan & Dean Yang, 2020. "Taken by Storm: Hurricanes, Migrant Networks, and US Immigration," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 250-277, April.
    7. Molina Millán, Teresa, 2015. "Regional Migration, Insurance and Economic Shocks: Evidence from Nicaragua," IZA Discussion Papers 9494, Institute of Labor Economics (IZA).
    8. repec:lic:licosd:42321 is not listed on IDEAS
    9. De Weerdt,Joachim & Christiaensen,Luc & Kanbur,Ravi, 2021. "When Distance Drives Destination, Towns Can Stimulate Development," Policy Research Working Paper Series 9622, The World Bank.
    10. Luc Christiaensen & Joachim Weerdt & Yasuyuki Todo, 2013. "Urbanization and poverty reduction: the role of rural diversification and secondary towns," Agricultural Economics, International Association of Agricultural Economists, vol. 44(4-5), pages 435-447, July.
    11. Luigi Ventura & Maria Ventura, 2021. "Migration, diversity and regional risk sharing," Applied Economics, Taylor & Francis Journals, vol. 53(44), pages 5090-5102, September.
    12. Isabell Duda & Anja Fasse & Ulrike Grote, 2018. "Drivers of rural-urban migration and impact on food security in rural Tanzania," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(4), pages 785-798, August.
    13. Hirvonen, Kalle & Lilleør, Helene Bie, 2015. "Going Back Home: Internal Return Migration in Rural Tanzania," World Development, Elsevier, vol. 70(C), pages 186-202.
    14. Ingelaere, Bert & Christiaensen, Luc & De Weerdt, Joachim & Kanbur, Ravi, 2018. "Why secondary towns can be important for poverty reduction – A migrant perspective," World Development, Elsevier, vol. 105(C), pages 273-282.
    15. Martin Julius Chegere & Theresia Livinus Mrosso, 2022. "Climate Variability, Temporal Migration, and Household Welfare among Agricultural Households in Tanzania," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    16. Geng, Xin & Ide, Vera & Janssens, Wendy & Kramer, Berber & van der List, Marijn, 2017. "Health insurance, a friend in need? Evidence from financial and health diaries in Kenya," IFPRI discussion papers 1664, International Food Policy Research Institute (IFPRI).
    17. Stefanija Veljanoska, 2022. "Do Remittances Promote Fertilizer Use? The Case of Ugandan Farmers," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 273-293, January.
    18. 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.
    19. Geng, Xin & Janssens, Wendy & Kramer, Berber & van der List, Marijn, 2018. "Health insurance, a friend in need? Impacts of formal insurance and crowding out of informal insurance," World Development, Elsevier, vol. 111(C), pages 196-210.

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    More about this item

    Keywords

    Population Policies; Consumption; Anthropology; Inequality; Labor Policies;
    All these keywords.

    JEL classification:

    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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