Discrete Choice under Risk with Limited Consideration
Levon Barseghyan, Francesca Molinari, Matthew Thirkettle
American Economic Review · 2021 · Volume 111 · Issue 6
Abstract
This paper is concerned with learning decision-makers' preferences using data on observed choices from a finite set of risky alternatives. We propose a discrete choice model with unobserved heterogeneity in consideration sets and in standard risk aversion. We obtain sufficient conditions for the model's semi-nonparametric point identification, including in cases where consideration depends on preferences and on some of the exogenous variables. Our method yields an estimator that is easy to compute and is applicable in markets with large choice sets. We illustrate its properties using a dataset on property insurance purchases.
Keywords
Criteria for Decision-Making under Risk and Uncertainty, Search, Learning, Information and Knowledge, Communication, Belief, Unawareness, Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making, Insurance, Insurance Companies, Actuarial Studies, Household Finance: Insurance
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