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

Author

Listed:
  • Ariel Linden

    (Linden Consulting Group, LLC)

Programming Language

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.

Suggested Citation

  • Ariel Linden, 2026. "MMWSMED: Stata module for conducting causal mediation analysis using ratio-of-mediator-probability weighting with parametric or nonparametric weights," Statistical Software Components S460014, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s460014
    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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    File URL: http://fmwww.bc.edu/repec/bocode/m/mmwsmed.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/m/mmwsmed.sthlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/r/Riverside.dta
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    File URL: http://fmwww.bc.edu/repec/bocode/m/MMWSMED.pdf
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