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The Review of Economics and Statistics 2025

The Impact of Consequence Information on Insurance Choice

Anya Samek1; Justin Sydnor2

1 University of California San Diego and NBER · 2 University of Wisconsin-Madison and NBER

Abstract

Individuals frequently make insurance choices that appear sub-optimal, possibly reflecting difficulty mapping insurance contracts to their distribution of financial consequences. We develop and experimentally test a decision aid that provides this mapping in two experiments mirroring typical health insurance decisions. Compared to standard feature-based information, our distributionbased tool substantially reduces dominance violations and changes choice patterns across a range of menus. Under feature-based displays, choices can be most easily rationalized by models of heuristic choices, such as minimizing premium or deductible. With the decision aid, significantly more people have choice patterns that are better explained by expected utility theory.

DOI
10.1162/rest_a_01572
Pages
1-46
Language
en
Sources
openalex crossref

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