RMPW: Stata module to implement the RMPW method of causal mediation analysis to decompose treatment effects into "direct" and "indirect" effects

Jonah Deutsch (), Matthew Jacobus () and Alma Vigil ()
Additional contact information
Jonah Deutsch: Mathematica Policy Research, Inc.
Matthew Jacobus: Mathematica Policy Research, Inc.
Alma Vigil: Mathematica Policy Research, Inc.

Statistical Software Components from Boston College Department of Economics

Abstract: This module implements the ratio-of-mediator-probability weighting (RMPW) method for causal mediation analysis to decompose the treatment effect into "direct" and "indirect" effects. The indirect effect operates through a "mediator," which is a variable that is affected by the treatment and in turn also has an effect on the outcome. The direct effect operates directly from the treatment to the outcome, or operates through other unmeasured mediators.

Language: Stata
Requires: Stata version 14.1
Keywords: mediation; probability weighting; causal analysis; direct effects; indirect effects (search for similar items in EconPapers)
Date: 2017-02-07
Note: This module should be installed from within Stata by typing "ssc install rmpw". 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/r/rmpw.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rmpw.sthlp help file (text/plain)

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