Risk Preference Types, Limited Consideration, and Welfare
Levon Barseghyan, Francesca Molinari

TL;DR
This paper develops a semi-nonparametric identification method for a mixture model of decision-making under risk, accounting for two preference types and unobserved heterogeneity in consideration sets, with applications to insurance choices and welfare analysis.
Contribution
It introduces a novel identification approach for a mixture model with two risk preference types and unobserved consideration sets, using covariate variation across contexts.
Findings
Model successfully estimates risk preferences and consideration sets.
Welfare analysis shows potential gains from market integration.
Limited consideration significantly impacts welfare outcomes.
Abstract
We provide sufficient conditions for semi-nonparametric point identification of a mixture model of decision making under risk, when agents make choices in multiple lines of insurance coverage (contexts) by purchasing a bundle. As a first departure from the related literature, the model allows for two preference types. In the first one, agents behave according to standard expected utility theory with CARA Bernoulli utility function, with an agent-specific coefficient of absolute risk aversion whose distribution is left completely unspecified. In the other, agents behave according to the dual theory of choice under risk(Yaari, 1987) combined with a one-parameter family distortion function, where the parameter is agent-specific and is drawn from a distribution that is left completely unspecified. Within each preference type, the model allows for unobserved heterogeneity in consideration…
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Taxonomy
TopicsEconomic and Environmental Valuation · Housing Market and Economics · Decision-Making and Behavioral Economics
