DRMMWS: Stata module to perform doubly-robust marginal mean weighting through stratification

Ariel Linden

Statistical Software Components from Boston College Department of Economics

Abstract: drmmws estimates doubly-robust effects of a binary treatment on an outcome, controlling for observed confounding variables, using a data pre-processing procedure that combines elements of two propensity score-based techniques, stratification and weighting (referred to as marginal mean weighting through stratification [MMWS]). drmmws estimates the potential-outcome means (or medians) for each treatment group, and the average (or median) treatment effect (ATE, MTE), or the average (or median) treatment effect on the treated (ATT, MTE). Standard errors, p values, and confidence intervals are computed using a bootstrap procedure which incorporates estimation of both the propensity score and outcome models.

Language: Stata
Requires: Stata version 13
Keywords: propensity score; stratification; weighting; marginal mean weighting; doubly robust; causal inference (search for similar items in EconPapers)
Date: 2017-01-28
Note: This module should be installed from within Stata by typing "ssc install drmmws". 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/d/drmmws.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/drmmws_bs.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/drmmws.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/d/drmmws_proof.do sample do-file (text/plain)
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