Package: pathintdid 0.1.0

pathintdid: Path-Integrated Difference-in-Differences

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:Comlan Apollinaire-Fabrice Salavi [aut, cre]

pathintdid_0.1.0.tar.gz
pathintdid_0.1.0.zip(r-4.7-any)pathintdid_0.1.0.zip(r-4.6-any)pathintdid_0.1.0.zip(r-4.5-any)
pathintdid_0.1.0.tgz(r-4.6-any)pathintdid_0.1.0.tgz(r-4.5-any)
pathintdid_0.1.0.tar.gz(r-4.7-any)pathintdid_0.1.0.tar.gz(r-4.6-any)
pathintdid_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pathintdid/json (API)

# Install 'pathintdid' in R:
install.packages('pathintdid', repos = c('https://fabricesalavi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fabricesalavi/pathintdid/issues

Datasets:

On CRAN:

Conda:

3.00 score 177 downloads 3 exports 0 dependencies

Last updated from:5f553d5694. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK91
source / vignettesOK134
linux-releaseOK94
macos-releaseOK187
macos-oldrelOK128
windows-develOK62
windows-releaseOK66
windows-oldrelOK64
wasm-releaseOK68

Exports:pathintdidpathintdidplotpathintdidrobust

Dependencies: