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

Abstract

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 treatment groups. The created treatment groups are balanced with respect to the specified covariates according to the minMSE-method proposed by Schneider and Schlather (2017) ; the package implements their treatment assignment method (based on work by Kasy, 2016). Pre-treatment information to be considered can be continuous and multivariate (i.e., several variables). Optimization is performed using the stochastic simulated annealing algorithm (Kirkpatrick, Gelatt, and Vecchi, 1983).

Publication
Stata ado-package, Statistical Software Components, Boston College Department of Economics

We provide R and Stata implementation for treatment assignment using the minMSE method as proposed by Schneider and Schlather (2017).

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