In experiments of decision-making under risk, structural mixture models allow us to take a menu of theories about decision-making to the data, estimating the fraction of people who behave according to each model. While studies using mixture models typically focus only on how prevalent each of...

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...