MINMSE: Stata module to create balanced groups for treatment in experiments with one or several treatment arms

Sebastian Schneider

Statistical Software Components from Boston College Department of Economics

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).

Language: Stata
Requires: Stata version 13.1
Keywords: treatment; experiments; treatment arms (search for similar items in EconPapers)
Date: 2021-04-24
Note: This module should be installed from within Stata by typing "ssc install minmse". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/m/minmse.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/minmse.sthlp help file (text/plain)

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