Inference of Preference Heterogeneity from Choice Data

48 Pages Posted: 13 Mar 2017 Last revised: 24 May 2019

Date Written: January 16, 2018

Abstract

Suppose that an analyst observes inconsistent choices from either a single decision-maker, or a population of agents. Can the analyst determine whether this inconsistency arises from choice error (imperfect maximization of a single preference) or from preference heterogeneity (deliberate maximization of multiple preferences)? I model choice data as generated from imperfect maximization of a small number of preferences. The main results show that (a) simultaneously minimizing the number of inferred preferences and the number of unexplained observations can exactly recover the number of underlying preferences with high probability; (b) simultaneously minimizing the richness of the set of preferences and the number of unexplained observations can exactly recover the choice implications of the decision maker's underlying preferences with high probability.

Keywords: choice data, multiple rationales, revealed preference, heterogeneity, identifiability

Suggested Citation

Liang, Annie, Inference of Preference Heterogeneity from Choice Data (January 16, 2018). Available at SSRN: https://ssrn.com/abstract=2931848 or http://dx.doi.org/10.2139/ssrn.2931848

Annie Liang (Contact Author)

Northwestern University ( email )

2001 Sheridan Road
Evanston, IL 60208
United States

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