fast and flexible Difference-in-Differences
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Updated
Apr 29, 2026 - R
fast and flexible Difference-in-Differences
This package is a Julia replication of the Stata package eventstudyinteract provided by Sun and Abraham (2021).
Staggered DiD (Callaway-Sant'Anna) analysis of Google AI Overviews' impact on web traffic (working-paper code, personal contributions)
Staggered DID in Structural Gravity Monte Carlo Analysis
Borusyak, Jaravel, Spiess (2023), Gardner (2021), Sun & Abraham (2021) staggered difference in differences estimators in Julia
Stata package for doubly robust uniform confidence bands for group-time conditional average treatment effects (CATT) in staggered difference-in-differences. Implements Imai, Qin, and Yanagi (2025, JBES).(Public Preview, testing...)(Disclaimer: CURRENTLY WIP)
Landsat 5/8/9 satellite imagery (2004–2023) processed into NDVI with Google Earth Engine, combined with UNESCO Creative Cities panel data and evaluated via staggered DID and quantile analysis
Applied econometrics project on how M&A reshapes inventor mobility, research direction, and innovation output using matched event-study panels.
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