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...

One of the original objectives of the (logit) quantal response equilibrium (LQRE) model was to provide a method for structural estimation of behaviour in games, when behaviour deviated from Nash equilibrium predictions. To date, only Chapter 6 of the book on quantal response equilibrium by...

This paper develops a framework for estimating Quantal Response Equilibrium models from experimental data using Bayesian techniques. Bayesian techniques offer some advantages over the more commonly-used maximum likelihood approach: (i) the accuracy of the posterior simulation is limited by...

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...

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...

Technology is used in undergraduate courses to engage students and provide feedback about understanding. TopHat is an application which displays multiple choice questions mid-class. In this field experiment, we determine if displaying or hiding the distribution of peer responses has an impact on...

A subject brackets two decisions if she "choose[s] an option in each case without full regard to the other." Although in most situations such behavior is unlikely to be optimal, it is well documented in experiments where subjects make decisions in the absence of strategic considerations. This...

The strategy frequency estimation method (Dal B´o and Fr´echette, 2011) allows us to estimate the fraction of subjects playing each of a list of strategies in an infinitely repeated game. Currently, this method assumes that subjects tremble with the same probability. This paper extends this...

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...