While a substantial literature in economics and finance has concluded that women are more risk averse than men, this conclusion merits reconsideration. Drawing on literatures in statistics and cognitive science, this essay discusses the important difference between drawing conclusions based on statistical inference, which concerns aggregates such as mean scores, and generalization, which posits characteristics of individuals classified into kinds. To supplement findings of statistical significance, quantitative measures of substantive difference (Cohen’s d) and overlap (the Index of Similarity) are computed from the data on men, women, and risk used in 28 published articles. The results are considerably more mixed and overlapping than might be expected. Paying attention to empirical evidence that challenges subjective cultural beliefs about sex and risk has implications for labor economics, finance, and the economics of climate change.
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i'm the leftist liberal you've been warned about - the one who genuinely supports the expansion of the welfare state. i love politics and data and graffiti and street art and am far too lazy to use my shift key. if you need to reach me, you can email to abbyjean at the google email service.