OpportunityInsights / Surrogates-Replication-Code
Code to replicate GAIN application in Athey, Chetty, Imbens and Kang (2019) using simulated employment data
☆31Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Surrogates-Replication-Code
- R package containing data on NBER working papers☆24Updated 2 years ago
- Create industry-level aggregates for shift-share IV following Borusyak, Hull, and Jaravel (2022)☆19Updated 2 years ago
- R-code to compare some staggered did methods☆26Updated 2 years ago
- Specification curve in Stata☆41Updated 4 years ago
- Difference-in-differences Imputation-based Estimator proposed by Borusyak, Jaravel, and Spiess (2021)☆46Updated 4 months ago
- ☆35Updated 2 years ago
- Coefficient stability plots in R☆49Updated 3 years ago
- Estimates the weights and the measure of robustness to treatment effect heterogeneity attached to the two-way fixed effects regressions s…☆23Updated 3 years ago
- R package for power calculations and visualization for pre-trends tests☆56Updated 7 months ago
- Course material for the Winter 2020 Edition of PP4RS at Uni Zurich☆19Updated 4 years ago
- pytorch implementation of BLP'95☆26Updated 4 years ago
- Difference-in-Differences☆39Updated 2 years ago
- Course Materials for AEA Short Course on Modern Sampling Methods☆28Updated 2 years ago
- ☆42Updated 3 years ago
- Advanced causal inference and research design course☆90Updated 3 years ago
- NO LONGER MAINTAINED. Links to alternative packages are in the readme. Code to incorporate staggered treatment adoption (based on appendi…☆21Updated last year
- Machine Learning for Econometrics -- ENSAE Paris☆21Updated 4 years ago
- A Stata package that acts as a wrapper for Callaway and Sant'anna's R did package☆31Updated 3 years ago
- Call an R script from Stata☆29Updated 7 months ago
- Stata module that calculates the weights underlying two-way fixed effect event studies☆17Updated 3 years ago
- Synthetic-Control-and-Clustering taught by Alberto Abadie☆41Updated 8 months ago
- This repo contains the code for Eckert, Fort, Schott, and Yang (2019).☆17Updated 2 years ago
- Bacon-Goodman decomposition for differences-in-differences with variation in treatment timing.☆46Updated 3 years ago
- A Stata package for running machine learning analyses in R☆22Updated 2 years ago
- Two-Stage Difference-in-Differences following Gardner (2021)☆31Updated this week
- Generate a specification chart in base R (with reproducible example)☆31Updated 3 years ago
- ☆54Updated 3 years ago
- ☆21Updated 6 years ago
- Multiple Treatment Effects☆21Updated 4 months ago