This study explores people's risk attitudes after having suffered large real-world losses following a natural disaster … is consistent with prospect theory predictions of the adoption of a risk-seeking attitude after a loss …

environments modify students’ risk-taking attitudes. In Booth and Nolen (2012b), subjects are in years 10 and 11, while in Booth …

This paper investigates whether risk aversion and impatience are correlated with cognitive ability. We conduct … incentive compatible choice experiments measuring risk aversion, and impatience over an annual time horizon, for a … with greater risk aversion, and more pronounced impatience. These relationships are statistically and economically …

regularities by developing a new firmbased trade model wherein managers are risk averse. Higher volatility induces the reallocation …

empirically show two main findings: first, risk-taking is positively related to the length of tax loss periods because the loss … rules shift some risk to the government; and second, the tax rate has a positive effect on risk-taking for firms that expect …

Why are better educated and more risk-friendly persons more mobile across regions? To answer this question, we use … patterns. Our findings indicate that risk-loving and skilled people are more mobile over longer distances because they are more … distance-related migration costs cannot explain the lower distance sensitivity of educated and risk-loving individuals …

accuracy of disease risk perceptions among obese individuals. We compare subjective risk perceptions for various diseases …

This paper explores the introduction of collective risk-sharing elements in defined contribution pension contracts. We … consider status-contingent, age-contingent and asset contingent risk-sharing arrangements. All arrangements raise aggregate …

We investigate the trade-off between the risk-sharing gains enjoyed by more interconnected firms and the costs … resulting from an increased risk exposure. We find that when the shock distribution displays “fat” tails, extreme segmentation …

the period 1972:1-2014:12 to forecasts our tail risk indicators with each model in pseudo-real time. Our key finding is …