Experimental Design

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 …

Addressing Validity and Generalizability Concerns in Field Experiments

In this paper, we systematically analyze the empirical importance of standard conditions for the validity and generalizability of field experiments: the internal and external overlap and unconfoundedness conditions. We experimentally varied the …

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 …