fast and flexible Difference-in-Differences
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Updated
Oct 8, 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).
Borusyak, Jaravel, Spiess (2023), Gardner (2021), Sun & Abraham (2021) staggered difference in differences estimators in Julia
Staggered DID in Structural Gravity Monte Carlo Analysis
Staggered DiD (Callaway-Sant'Anna) analysis of Google AI Overviews' impact on web traffic (working-paper code, personal contributions)
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)
Inteligência Artificial e Produtividade no Setor Público: evidências dos Tribunais de Justiça brasileiros (painel dos 27 TJs, DiD escalonado, cronologia auditada de adoção de IA) — compêndio reproduzível em R
Difference-in-differences study of mega-event host-city economic effects — a robust-looking +2.9% employment bump shown to be seasonal confounding. Synthetic validation + real BLS data, Python.
Applied econometrics project on how M&A reshapes inventor mobility, research direction, and innovation output using matched event-study panels.
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
Port digitalization, efficiency and trade costs in Brazilian ports: causal evaluation (staggered DiD, SFA, PPML) + reproducible R/DuckDB observatory
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