Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/265200 
Erscheinungsjahr: 
2022
Schriftenreihe/Nr.: 
IES Working Paper No. 14/2022
Verlag: 
Charles University in Prague, Institute of Economic Studies (IES), Prague
Zusammenfassung: 
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.
Schlagwörter: 
Euler equation
risk aversion
Epstein-Zin preferences
meta-analysis
publication bias
Bayesian model averaging
JEL: 
C83
D81
D90
Dokumentart: 
Working Paper

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