This study examines gender differences in overconfidence and decision-making in a high-stakes environment. Using data … and can be partly explained by experience. There are no substantial gender differences on the intensive margin of …

This study examines gender differences in overconfidence and decision-making in a high-stakes environment. Using data … and can be partly explained by experience. There are no substantial gender differences on the intensive margin of …

confidence contributing to the gender gap in competitiveness (the preference channel). To disentangle the two channels, we …The gender gap in competitiveness is argued to explain gender differences in later life outcomes, including career … difference in competitiveness within the over- and underconfident subgroups, while a significant gender gap exists among the …

In this study, we estimate unadjusted and adjusted gender gap in time preference, risk attitudes, altruism, trust …, trustworthiness, cooperation and competitiveness using data on 1088 high-school students from 53 classes. These data, collected by …, less trustworthy and less competitive than males. At the same time we do not observe significant gender differences in …

Studying competitiveness and risk-taking among Jeopardy! contestants in the US, this paper analyzes whether and how … gender differences emerge with age and by gender of opponent. Our samples contain 186 children (aged 10-12), 310 teenagers … (aged 13-17), and 299 undergraduate college students. We measure competitiveness via the likelihood of (i) winning an …

Studying competitiveness and risk-taking among Jeopardy! contestants in the US, this paper analyzes whether and how … gender differences emerge with age and by gender of opponent. Our samples contain 186 children (aged 10–12), 310 teenagers … (aged 13–17), and 299 undergraduate college students. We measure competitiveness via the likelihood of (i) winning an …

this question by combining a large online experiment (N=2,086) with machine learning. We find that when losing is …

this question by combining a large online experiment (N=2,086) with machine learning. We find that when losing is …

this question by combining a large online experiment (N=2,086) with machine learning. We find that when losing is …