<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>fabricesalavi.r-universe.dev</title><link>https://fabricesalavi.r-universe.dev</link><description>Recent package updates in fabricesalavi</description><generator>R-universe</generator><image><url>https://github.com/fabricesalavi.png</url><title>R packages by fabricesalavi</title><link>https://fabricesalavi.r-universe.dev</link></image><lastBuildDate>Mon, 03 Aug 2026 15:52:49 GMT</lastBuildDate><item><title>[fabricesalavi] pathintdid 0.1.0</title><author>fsalavi@africanschoolofeconomics.com (Comlan Apollinaire-Fabrice Salavi)</author><description>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'.</description><link>https://github.com/r-universe/fabricesalavi/actions/runs/37761019559</link><pubDate>Mon, 03 Aug 2026 15:52:49 GMT</pubDate><r:package>pathintdid</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://fabricesalavi.r-universe.dev</r:repository><r:upstream>https://github.com/fabricesalavi/pathintdid</r:upstream></item></channel></rss>