Method

Stata Implementation of the minMSE treatment assignment method for one or multiple treatment groups

minmse performs treatment assignment for (field) experiments based on pre-treatment information, i.e., it assigns treatment group number(s) to observations based on covariates specified by the user. It is suited for experiments with one or several …

R Implementation of the minMSE treatment assignment method for one or multiple treatment groups

Performs treatment assignment for (field) experiments considering available, possibly multivariate and continuous, information (covariates, observable characteristics), that is: forms balanced treatment groups, according to the minMSE-method as …

A New Approach to Treatment Assignment for One and Multiple Treatment Groups

We present a new approach to treatment assignment in (field) experiments for the case of one or multiple treatment groups. This approach -- which we call the minimizing Mean Squared Error (MSE) approach -- uses sample characteristics to obtain …

Measuring Utility – An Application to Higher Order Risk and Saving in Bogota

Measuring utility is at the heart of microeconomics and has important applications in many areas of economics. Here we present a new experimental method to elicit utility functions and associated measures of (higher order) risk preferences. The …