Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/265200 
Year of Publication: 
2022
Series/Report no.: 
IES Working Paper No. 14/2022
Publisher: 
Charles University in Prague, Institute of Economic Studies (IES), Prague
Abstract: 
We collect 1,021 estimates from 92 studies that use the consumption Euler equation to measure relative risk aversion and that disentangle it from intertemporal substitution. We show that calibrations of risk aversion are typically larger than estimates thereof. Moreover, reported estimates are typically larger than the underlying risk aversion because of publication bias. After correction for the bias, the literature suggests a mean risk aversion of 1 in economics and 2-7 in finance contexts. The reported estimates are systematically driven by the characteristics of data (frequency, dimension, country, stockholding) and utility (functional form, treatment of durables). To obtain these results we use nonlinear techniques to correct for publication bias and Bayesian model averaging techniques to account for model uncertainty.
Subjects: 
Euler equation
risk aversion
Epstein-Zin preferences
meta-analysis
publication bias
Bayesian model averaging
JEL: 
C83
D81
D90
Document Type: 
Working Paper

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