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Trust in Risk Sharing: A Double-Edged Sword

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  • Harold L. Cole
  • Dirk Krueger
  • George J. Mailath
  • Yena Park

Abstract

We analyze efficient risk-sharing arrangements when the value from deviating is determined endogenously by another risk sharing arrangement. Coalitions form to insure against idiosyncratic income risk. Self-enforcing contracts for both the original coalition and any coalition formed (joined) after deviations rely on a belief in future cooperation which we term “trust”. We treat the contracting conditions of original and deviation coalitions symmetrically and show that higher trust tightens incentive constraints since it facilitates the formation of deviating coalitions. As a consequence, although trust facilitates the initial formation of coalitions, the extent of risk sharing in successfully formed coalitions is declining in the extent of trust and efficient allocations might feature resource burning or utility burning: trust is indeed a double-edged sword.

Suggested Citation

  • Harold L. Cole & Dirk Krueger & George J. Mailath & Yena Park, 2020. "Trust in Risk Sharing: A Double-Edged Sword," NBER Working Papers 26667, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26667
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    Cited by:

    1. Daniel J. Hernandez & Fernando Jaramillo & Hubert Kempf & Fabien Moizeau & Thomas Vendryes, 2023. "Limited Commitment, Social Control and Risk-Sharing Coalitions in Village Economies," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 2023-03, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.

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    More about this item

    JEL classification:

    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • D16 - Microeconomics - - Household Behavior - - - Collaborative Consumption
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)

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