CAUSALREP: Stata module for quantifying the internal validity and representativeness of OLS, IV, and two-way fixed-effects estimands

Tymon Słoczyński

Statistical Software Components from Boston College Department of Economics

Abstract: causalrep implements diagnostics for quantifying the internal validity and representativeness of weighted estimands developed by Poirier and Słoczyński (2026). It computes the measure of internal validity (MIV), defined as the largest possible share of the relevant target population for which an ordinary least-squares (OLS), instrumental-variables (IV), or two-way fixed-effects (TWFE) estimand can be represented as an average treatment effect. Where applicable, it also computes the measure of representativeness (MR), defined as the corresponding largest possible share of the entire population. The target population is the entire population for OLS, the complier population for IV, and the treated population for TWFE. The package can also compute these measures conditional on user-supplied conditional average treatment effects.

Language: Stata
Requires: Stata version 14
Keywords: weighted estimands; internal validity; representativeness; heterogeneous treatment effects; ordinary least squares; instrumental variables; two-way fixed effects (search for similar items in EconPapers)
Date: 2026-07-26
Note: This module should be installed from within Stata by typing "ssc install causalrep". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/c/causalrep.ado
http://fmwww.bc.edu/repec/bocode/c/causalrep.sthlp
http://fmwww.bc.edu/repec/bocode/c/causalrep_did.sthlp
http://fmwww.bc.edu/repec/bocode/c/causalrep_iv.sthlp
http://fmwww.bc.edu/repec/bocode/c/causalrep_ols.sthlp
http://fmwww.bc.edu/repec/bocode/_/_causalrep_ols.ado
http://fmwww.bc.edu/repec/bocode/_/_causalrep_did.ado
http://fmwww.bc.edu/repec/bocode/_/_causalrep_iv.ado

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