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American Economic Review Vol. 109 No. 9 2019

Bayesian Identification: A Theory for State-Dependent Utilities

Jay Lu

Department of Economics, UCLA, Los Angeles, CA 90095 (email: )

Abstract

We provide a revealed preference methodology for identifying beliefs and utilities that can vary across states. A notion of comparative informativeness is introduced that is weaker than the standard Blackwell ranking. We show that beliefs and state-dependent utilities can be identified using stochastic choice from two informational treatments, where one is strictly more informative than another. Moreover, if the signal structure is known, then stochastic choice from a single treatment is enough for identification. These results illustrate novel identification methodologies unique to stochastic choice. Applications include identifying biases in job hiring, loan approvals, and medical advice.

DOI
10.1257/aer.20171534
Volume
109
Issue
9
Pages
3192-3228
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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