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Are gifts and loans between households voluntary?

Author

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  • Margherita Comola

    (PSE - Paris-Jourdan Sciences Economiques - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Marcel Fafchamps

    (University of Oxford)

Abstract

Using village data from Tanzania, we test whether gifts and loans between households are voluntary while correcting for mis-reporting by the giving and receiving households. Two 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 that corrects for response bias. Our testing strategy is based on the idea that, if lending 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 link 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?," PSE Working Papers halshs-00564894, HAL.
  • Handle: RePEc:hal:psewpa:halshs-00564894
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00564894
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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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    5. Margherita Comola & Marcel Fafchamps, 2014. "Testing Unilateral and Bilateral Link Formation," Economic Journal, Royal Economic Society, vol. 124(579), pages 954-976, September.
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    3. 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).
    4. 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.
    5. 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).
    6. 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).
    7. Comola, Margherita & Prina, Silvia, 2014. "Do Interventions Change the Network? A Panel Peer-Effect Model Accounting for Endogenous Network Changes," IZA Discussion Papers 8641, 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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