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...

We outline a strategy for distinguishing rank-dependent probability weighting from systematic risk misperceptions in field data. Our strategy relies on singling out a field environment with two key properties: (i) the objects of choice are money lotteries with more than two outcomes; and (ii)...

People underappreciate how their own behavior and exogenous factors affect their future utility, and thus exaggerate the degree to which their future preferences resemble their current preferences. We present evidence which demonstrates the prevalence of such projection bias, and develop a...