Utility, Risk and Demand for Incomplete Insurance: Lab Experiments with Guatemalan Co-Operatives
Author(s) -
Craig McIntosh,
Felix Povel,
Élisabeth Sadoulet
Publication year - 2019
Publication title -
the economic journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.683
H-Index - 160
eISSN - 1468-0297
pISSN - 0013-0133
DOI - 10.1093/ej/uez005
Subject(s) - economics , counterfactual thinking , expected utility hypothesis , utility theory , index (typography) , probabilistic logic , metric (unit) , actuarial science , transferable utility , microeconomics , demand curve , econometrics , financial economics , mathematical economics , game theory , computer science , mathematics , operations management , statistics , philosophy , epistemology , world wide web
We play a series of incentivized laboratory games with risk-exposed cooperative- based coffee farmers in Guatemala to understand the demand for index-based rainfall insurance. We show that insurance demand goes up as increasingly severe risk makes insurance payouts more partial (payouts are smaller than losses), but demand is ad- versely effected by more complex risk structures in which payouts are probabilistic (it is possible that a shock occurs with no payout). We use numerical techniques to esti- mate a flexible utility function for each player and consequently can put exact dollar values on the magnitude of the behavioral response triggered by probabilistic insur- ance. Exploiting the group structure of the cooperative, we investigate the possibility of using group loss adjustment to smooth idiosyncratic risk. Our results suggest that consumers value probabilistic insurance using a prospect-style utility function that is concave both in probabilities and in income, and that group insurance mechanisms are unlikely to solve the issues of low demand that have bedeviled index insurance markets.
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