fast and flexible Difference-in-Differences
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Updated
Sep 16, 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
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)
Staggered DiD (Callaway-Sant'Anna) analysis of Google AI Overviews' impact on web traffic (working-paper code, personal contributions)
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
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
Port digitalization, efficiency and trade costs in Brazilian ports: causal evaluation (staggered DiD, SFA, PPML) + reproducible R/DuckDB observatory
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