MMWSMED: Stata module for conducting causal mediation analysis using ratio-of-mediator-probability weighting with parametric or nonparametric weights

Ariel Linden

Statistical Software Components from Boston College Department of Economics

Abstract: mmwsmed decomposes the total effect of a treatment on an outcome into natural direct and indirect effects using ratio-of-mediator-probability weighting (RMPW; Hong 2010; Hong, Deutsch, and Hill 2015; Hong 2015, chapters 11 to 13). RMPW allows the effect of the mediator on the outcome to differ by treatment (a treatment-by-mediator interaction), makes no assumption about the distribution of the outcome, and requires no model for the outcome. The estimators, the extensions implemented here, and their finite-sample performance are described in Linden (2026). The syntax follows that of mediate.

Language: Stata
Requires: Stata version 15
Keywords: mediation analysis; ratio-of-mediator-probability weighting; marginal mean weighting through stratification; inverse probability of treatment weights; causal inference (search for similar items in EconPapers)
Date: 2026-11-07, Revised 2026-11-12
Note: This module should be installed from within Stata by typing "ssc install mmwsmed". 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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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/m/mmwsmed.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mmwsmed.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/r/Riverside.dta
http://fmwww.bc.edu/repec/bocode/m/MMWSMED.pdf

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