Approximate Expected Utility Rationalization

Federico Echenique, Taisuke Imai and Kota Saito

Department of Economics, Working Paper Series from Department of Economics, Institute for Business and Economic Research, UC Berkeley

Abstract: Abstract: We propose a new measure of deviations from expected utility theory. For any positive number e, we give a characterization of the datasets with a rationalization that is within e (in beliefs, utility, or perceived prices) of expected utility (EU) theory, under the assumption of risk aversion. The number e can then be used as a measure of how far the data is to EU theory. We apply our methodology to data from three large-scale experiments. Many subjects in these experiments are consistent with utility maximization, but not with EU maximization. Our measure of distance to expected utility is correlated with the subjects’ demographic characteristics.

Keywords: Economics; Applied economics; Econometrics; Economic theory (search for similar items in EconPapers)
Date: 2023-01-01
New Economics Papers: this item is included in nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Related works:
Journal Article: Approximate Expected Utility Rationalization (2023)
Working Paper: Approximate Expected Utility Rationalization (2021)
Working Paper: Approximate Expected Utility Rationalization (2018)
Working Paper: Approximate Expected Utility Rationalization (2018)
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