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Distinguishing barriers to insurance in Thai villages

Author

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  • Cynthia Kinnan

    (MIT)

Abstract

In both developing and developed countries, consumption insurance is incomplete: consumption co-moves with income. Models with limited commitment, moral hazard, and hidden income have been proposed to explain this lack of full insurance. Limited commitment and moral hazard have generally been found to fit the data better than full insurance or permanent income models, but these models have not been tested against the alternative of hidden income. I show that the way history matters in forecasting consumption can be used to distinguish the hidden income model from other models of incomplete insurance. I also argue that accounting for measurement error in consumption is important in identifying barriers to insurance. In a ten-year panel from rural Thailand, neither limited commitment or moral hazard can fully explain the relationship between income and consumption--the need to give households incentives to truthfully reveal their income appears to play a role in constraining insurance.

Suggested Citation

  • Cynthia Kinnan, 2009. "Distinguishing barriers to insurance in Thai villages," 2009 Meeting Papers 1276, Society for Economic Dynamics.
  • Handle: RePEc:red:sed009:1276
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    Citations

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    Cited by:

    1. Chaoran Chen & Diego Restuccia & Raul Santaeulalia-Llopis, 2022. "The Effects of Land Markets on Resource Allocation and Agricultural Productivity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 41-54, July.
    2. Joachim De Weerdt & Garance Genicot & Alice Mesnard, 2019. "Asymmetry of Information within Family Networks," Journal of Human Resources, University of Wisconsin Press, vol. 54(1), pages 225-254.
    3. Renate Strobl & Conny Wunsch, 2021. "Risky choices and solidarity: disentangling different behavioural channels," Experimental Economics, Springer;Economic Science Association, vol. 24(4), pages 1185-1214, December.
    4. Li, Zhimin & Ligon, Ethan, 2020. "Inferring informal risk-sharing regimes: Evidence from rural Tanzania," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 941-955.
    5. Costas Meghir & Ahmed Mushfiq Mobarak & Ahmed Corina Mommaerts & Ahmed Melanie Morten, 2019. "Migration and Informal Insurance," Cowles Foundation Discussion Papers 2185R, Cowles Foundation for Research in Economics, Yale University, revised Aug 2020.
    6. Karlan, Dean & Morduch, Jonathan, 2010. "Access to Finance," Handbook of Development Economics, in: Dani Rodrik & Mark Rosenzweig (ed.), Handbook of Development Economics, edition 1, volume 5, chapter 0, pages 4703-4784, Elsevier.
    7. Patacchini, Eleonora & Barrett, Christopher & , & Walker, Thomas, 2019. "Altruism, Insurance, And Costly Solidarity Commitments1," CEPR Discussion Papers 14148, C.E.P.R. Discussion Papers.
    8. Parantap Basu & Sigit Sulistiyo Wibowo, 2015. "An Empirical Investigation of Risk Sharing among Indonesian Households," CEGAP Working Papers 2015_02, Durham University Business School.
    9. Fujimoto, Junichi & Lee, Junsang, 2020. "Optimal self-financing microfinance contracts when borrowers have risk aversion and limited commitment," Journal of Mathematical Economics, Elsevier, vol. 91(C), pages 60-79.
    10. Putman, Daniel S., 2020. "The Scope of Risk Pooling," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304480, Agricultural and Applied Economics Association.

    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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