A continuing goal of experiments is to understand risky decisions when the decisions are important. Often a decision's importance relates to the magnitude of the associated monetary stake. Khaneman and Tversky (1979) argue that risky decisions in high stakes environments can be informed using...

In the context of eliciting preferences for decision making under risk, we ask the question: "which might be the 'best' method for eliciting such preferences?". It is well known that different methods differ in terms of the bias in the elicitation; it is rather less well-known that different...

We explore the individual and joint explanatory power of concepts from economics, psychology, and criminology for criminal behavior. More precisely, we consider risk and time preferences, personality traits from psychology (Big Five and locus of control), and a self-control scale from...

We introduce DOSE - Dynamically Optimized Sequential Experimentation - to elicit preference parameters. DOSE starts with a model of preferences and a prior over the parameters of that model, then dynamically chooses a customized question sequence for each participant according to an...

We propose an instrument to measure individuals' social preferences regarding equity and efficiency behind a veil of ignorance. We pair portfolio and wealth distribution choice problems which have a common budget set. For a given bundle, the distribution over an individual's wealth is the same...

We leverage the assumption that preferences are stable across contexts to par- tially identify and conduct inference on the parameters of a structural model of risky choice. Working with data on households’ deductible choices across three lines of insurance coverage and a model that nests...