Contingent valuation of public goods (or bads) is strongly biased due to the endowment effect and/or the status quo bias.

We ran a field experiment to investigate whether nudge policies, consisting in behavioural insight messaging, help to improve performance in financial trading. Our experiment involved students enrolled in a financial trading course in an Italian University who were invited to trade on Borsa...

The determinants of risk attitude in couples are explored using data from the German Socio-Economic Panel over the period 2004 to 2009. The focus of the analysis is the repeated responses to the survey question about general willingness to take risk. Responses to this question are provided on a...

Often in cooperative situations, many aspects of the decision-making environment are uncertain. We investigate how cooperation is shaped by the way information about risk is presented (from description or from experience) and by differences in risky environments. Drawing on research from risky...

This paper presents the Bomb Risk Elicitation Task (BRET), an intuitive procedure aimed at measuring risk attitudes. Subjects decide how many boxes to collect out of 100, one of which containing a bomb. Earnings increase linearly with the number of boxes accumulated but are zero if the bomb is...

We perform a comparative analysis of five incentivized tasks used to elicit risk preferences. Theoretically, we compare the elicitation methods in terms of completeness of the range of the estimates as well as their precision, the likelihood of triggering loss aversion, and problems arising when...

We use data on households' deductible choices in auto and home insurance to estimate a structural model of risky choice that incorporates standard risk aversion (concave utility over final wealth), loss aversion, and nonlinear probability weighting. Our estimates indicate that nonlinear...

This paper discusses the theoretical and practical aspects of new methods for solving DEA problems under real-life geometrical uncertainty and probability uncertainty of sample data. The proposed minimax approach to solve problems with geometrical uncertainty of sample data involves an...