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

Author

Listed:
  • Tymon Słoczyński

    (Brandeis University)

Programming Language

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.

Suggested Citation

  • Tymon Słoczyński, 2026. "CAUSALREP: Stata module for quantifying the internal validity and representativeness of OLS, IV, and two-way fixed-effects estimands," Statistical Software Components S459816, Boston College Department of Economics.
  • Handle: RePEc:boc:bocode:s459816
    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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