MSEFFECT: Stata module to estimate the mean effect size of (binary/multiple group) treatment on multiple outcomes

Zizhong Yan ()
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Zizhong Yan: Department of Economics, University of Warwick

Statistical Software Components from Boston College Department of Economics

Abstract: This command is a part of the online appendix for Lavy et al. (NBER, 2016) "Empowering Mothers and Enhancing Early Childhood Investment: Effect on Adults Outcomes and Children Cognitive and Non-Cognitive Skills". It is designed to calculate the mean effect size on multiple outcome variables (summary index) with the advantage that we account for different weights, reversibility of outcome sign, multiple treatment groups and different types of robust standard errors. The command can estimate the effect by taking account covariance of treatment effects using a seemingly uncorrelated regression; or direct estimate the effect using a linear regression with missing data imputation (at group means).

Language: Stata
Requires: Stata version 11.2
Keywords: effect size; treatment; binary treatment; multiple groups (search for similar items in EconPapers)
Date: 2017-01-14
Note: This module should be installed from within Stata by typing "ssc install mseffect". 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/mseffect.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mseffect.sthlp help file (text/plain)

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