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Are gifts and loans between households voluntary?

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  • Margherita Comola
  • Marcel Fafchamps

Abstract

Using village date from Tanzania, we test whether gifts and loans between households are voluntary while correcting for mis-reporting by the giving and receiving households. Tow maintained assumptions underlie our analysis: answers to a question on who people would turn to for help are good proxies for willingness to link: and, conditional on regressors, the probability of reporting a gift or loan is independent between giving and receiving households. Building on these assumptions, we develop a new estimation methodology and gift giving are voluntary, then both households should, want to rely on each other for help. We find only weak evidence to support bilateral formation. We do, however, find reasonably strong evidence to support unilateral link formation. Results suggest that if a household wishes to enter in a reciprocal relationship with someone who is sufficiently close socially and geographically, it can do so unilaterally.

Suggested Citation

  • Margherita Comola & Marcel Fafchamps, 2010. "Are gifts and loans between households voluntary?," CSAE Working Paper Series 2010-20, Centre for the Study of African Economies, University of Oxford.
  • Handle: RePEc:csa:wpaper:2010-20
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    References listed on IDEAS

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    1. De Weerdt, Joachim & Dercon, Stefan, 2006. "Risk-sharing networks and insurance against illness," Journal of Development Economics, Elsevier, vol. 81(2), pages 337-356, December.
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    3. Arcand, Jean-Louis & Fafchamps, Marcel, 2012. "Matching in community-based organizations," Journal of Development Economics, Elsevier, vol. 98(2), pages 203-219.
    4. Margherita Comola & Marcel Fafchamps, 2014. "Testing Unilateral and Bilateral Link Formation," Economic Journal, Royal Economic Society, vol. 124(579), pages 954-976, September.
    5. repec:pse:psecon:2009-30 is not listed on IDEAS
    6. Sanjeev Goyal, 2007. "Introduction to Connections: An Introduction to the Economics of Networks," Introductory Chapters, in: Connections: An Introduction to the Economics of Networks, Princeton University Press.
    7. Andrew D. Foster & Mark R. Rosenzweig, 2001. "Imperfect Commitment, Altruism, And The Family: Evidence From Transfer Behavior In Low-Income Rural Areas," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 389-407, August.
    8. Margherita Comola & Marcel Fafchamps, 2014. "Testing Unilateral and Bilateral Link Formation," Economic Journal, Royal Economic Society, vol. 124(579), pages 954-976, 09.
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    1. repec:dau:papers:123456789/12203 is not listed on IDEAS
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    3. Pamela Jakiela & Owen Ozier, 2016. "Does Africa Need a Rotten Kin Theorem? Experimental Evidence from Village Economies," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(1), pages 231-268.
    4. Landmann, Andreas & Vollan, Björn & Henning, Karla & Frölich, Markus, 2020. "Crowding-Out or Crowding-In? Heterogeneous Effects of Insurance on Solidarity," IZA Discussion Papers 13688, Institute of Labor Economics (IZA).
    5. Christophe Nordman & Julia Vaillant, 2013. "Inputs, Gender Roles or Sharing Norms? Assessing the Gender Performance Gap Among Informal Entrepreneurs in Madagascar," Working Papers DT/2013/15, DIAL (Développement, Institutions et Mondialisation).
    6. Goldberg, Jessica, 2017. "The effect of social pressure on expenditures in Malawi," Journal of Economic Behavior & Organization, Elsevier, vol. 143(C), pages 173-185.
    7. Landmann, Andreas & Vollan, Björn & Frölich, Markus, 2012. "Insurance versus Savings for the Poor: Why One Should Offer Either Both or None," IZA Discussion Papers 6298, Institute of Labor Economics (IZA).
    8. Landmann, Andreas & Vollan, Björn & Frölich, Markus, 2011. "Saving, Microinsurance: Why You Should Do Both or Nothing. A Behavioral Experiment on the Philippines," Proceedings of the German Development Economics Conference, Berlin 2011 51, Verein für Socialpolitik, Research Committee Development Economics.

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    More about this item

    Keywords

    Risk sharing; reporting bias; social networks;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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