Experimental data exhibit considerable individual heterogeneity. We review the econometric methods employed to characterize that heterogeneity. We pay particular attention to the trade-off between collecting and allowing for observable characteristics, such as the familiar demographics, and the...

We develop an extension of the familiar linear mixed logit model to allow for the direct estimation of parametric non-linear functions defined over structural parameters. A classic application is the estimation of coefficients of utility functions to characterize risk attitudes. There are...

We develop an extension of the familiar linear mixed logit model to allow for the direct estimation of parametric non-linear functions defined over structural parameters. A classic application is the estimation of coefficients of utility functions to characterize risk attitudes. There are...

Experimental data exhibit considerable individual heterogeneity. We review the econometric methods employed to characterize that heterogeneity. We pay particular attention to the trade-off between collecting and allowing for observable characteristics, such as the familiar demographics, and the...

We propose a method for estimating subjective beliefs, viewed as a subjective probability distribution. The key insight is to characterize beliefs as a parameter to be estimated from observed choices in a well-defined experimental task, and to estimate that parameter as a random coefficient. The...