Robust inference in difference-in-differences and event study designs
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Updated
Jun 11, 2024 - R
Robust inference in difference-in-differences and event study designs
lightning-fast staggered Difference-in-Differences estimators
Difference-in-Differences analysis of survey data to estimate causal effects
This repo provides data and code for replicating JPR article "Strongmen Cry Too: The Effect of Aerial Bombing on Voting for The Incumbent in Competitive Autocracies"
semiparametric 2-period DiD estimators for the ATT
Bachelor Thesis in Econometrics, Maastricht University
Causal inference between minimum wage and employment using difference in differences
Estimates the weights and the measure of robustness to treatment effect heterogeneity attached to the two-way fixed effects regressions studied in Chaisemartin & D'Haultfoeuille (2018).
We propose dsDid, a federated learning package implemented in DataSHIELD with a federated version of the DID approach of Callaway and Sant'Anna (2022) at its core. It allows for the federated estimation of treatment effects per period and the corresponding federated uncertainty quantification.
Why do buildings skip the thirteenth floor? Investigating the Impact of Omitting the 13th Floor in NYC Residential Buildings
Thesis code: The Tucker Effect - How Tucker Carlson Toxify the Tone on Twitter Towards Journalists
Final Replication Project for PUBPOL 870K at DKU
Two assignments from uni using R.
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