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 is consistent with 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 model averaging techniques to account for model uncertainty.

Fig: The funnel plot suggests publication bias in the literature

Funnel plot


Reference: Ali Elminejad, Havranek Tomas, and Zuzana Irsova (2022), "Relative Risk Aversion: A Meta-Analysis." Charles University, Prague.