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license: MIT
title: 'pathintdid: Path-Integrated Difference-in-Differences'
version: 0.1.0
doi: 10.32614/CRAN.package.pathintdid
abstract: Implements the Path-Integrated Difference-in-Differences ('PI-DiD') framework
  of Salavi (2026), which treats the treatment effect as a trajectory tau(t) = c1(t)
  - c0(t) and integrates the baseline-differenced gap over a post-treatment window
  to obtain a cumulative causal effect and a path-integrated average treatment effect
  on the treated, together with cluster-robust standard errors, confidence intervals,
  diagnostic plots, and the pre-treatment parallel-trends, grid-density, and anticipation-robustness
  checks of section 5 of the companion paper. This approach avoids the endpoint-subtraction
  bias that arises whenever a transitory policy's effect has fully decayed by the
  evaluation date, in which case the conventional static difference-in-differences
  estimate can be zero even though the cumulative benefit delivered to treated units
  was strictly positive. Formerly distributed as a Stata package under the names 'pidid'
  and 'pididplot'.
authors:
- family-names: Salavi
  given-names: Comlan Apollinaire-Fabrice
  email: fsalavi@africanschoolofeconomics.com
repository: https://fabricesalavi.r-universe.dev
repository-code: https://github.com/FabriceSALAVI/PathIntDID
commit: 5f553d5694483d5d12fb65325ab9306f0a0441e1
url: https://github.com/FabriceSALAVI/PathIntDID
date-released: '2026-08-03'
contact:
- family-names: Salavi
  given-names: Comlan Apollinaire-Fabrice
  email: fsalavi@africanschoolofeconomics.com