Random effects probit and logit specifications are common when analyzing economic experiments. Stata's fitted values from these estimations, however, appear to fit data poorly compared to their pooled counterparts. This is entirely due to Stata reporting the median predictive value, when...

In experiments of decision-making under risk, structural mixture models allow us to take a menu of theories about decision-making (e.g. Expected Utility Theory, Prospect Theory, and Rank Dependent Expected Utility) to the data, estimating the fraction of people who behave according to each...

We run an experiment to compare belief formation and learning under compound risk and under ambiguity at the individual level. We estimate a four-type mixture model assuming that subjects may either follow Bayes Rule or behave according to the multiple priors model of Epstein and Schneider...

Bayesian estimates from experimental data can be influenced by highly diffuse or "uninformative" priors. This paper discusses how practitioners can use their own expertise to critique and select a prior that (i) incorporates our knowledge as experts in the field, and (ii) achieves favorable...