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 treatment effects by combining propensity score stratification with weighted outcome regression, following the marginal mean weighting through stratification (MMWS) approach of Hong (2010, 2012) and Linden (2014, 2017a). It supports binary and multivalued (nominal) treatments, continuous and limited dependent variable outcomes, and a choice of analytic (delta-method) or bootstrap standard errors.

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, Revised 2026-05-30
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/m/mmws.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mmws.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/d/drmmws_proof.do sample do-file (text/plain)

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