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This study estimates household risk preferences using consumption data, revealing significant variation. While village-level risk reduction benefits most, it may harm less risk-averse households absorbing the risk.

Keywords:
Complete marketsHeterogeneityInsuranceRisk preferences

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Area of Science:

  • Behavioral Economics
  • Development Economics
  • Econometrics

Background:

  • Household consumption data can reveal risk preferences.
  • Understanding risk aversion is crucial for economic policy.
  • Previous models often assumed uniform risk preferences.

Purpose of the Study:

  • To directly estimate household risk preferences using panel data.
  • To measure heterogeneity in risk aversion within Thai villages.
  • To test a full risk-sharing model incorporating this heterogeneity.

Main Methods:

  • Utilized panel data on household consumption.
  • Employed a full risk-sharing model.
  • Tested the model allowing for heterogeneous risk preferences.

Main Results:

  • Substantial and statistically significant heterogeneity in estimated risk preferences was found.
  • The model could not reject the hypothesis of full insurance.
  • Estimated risk preferences were independent of wealth and other characteristics, aligning with complete-markets theory.

Conclusions:

  • Household risk preferences are significantly heterogeneous.
  • Policy interventions to mitigate risk must consider this heterogeneity.
  • While average households benefit from risk reduction, specific subgroups may incur losses.