azev77 / Compare-DiD-EstimatorsView external linksLinks
☆37Feb 20, 2022Updated 3 years ago
Alternatives and similar repositories for Compare-DiD-Estimators
Users that are interested in Compare-DiD-Estimators are comparing it to the libraries listed below
Sorting:
- Power calculations and visualization of pre-trends tests following Roth (2022). (Stata version of the R package of the same name.)☆31Jul 28, 2025Updated 6 months ago
- Stata -> R guide☆93Sep 9, 2025Updated 5 months ago
- New Version of CSDID. All in Mata☆11Mar 30, 2023Updated 2 years ago
- Summary and diagnostic information for evaluating within-fixed-effect variation.☆40Aug 17, 2021Updated 4 years ago
- Event studies: robust and efficient estimation, testing, and plotting☆190Nov 22, 2023Updated 2 years ago
- Applied Econometrics 2021☆31Jul 15, 2021Updated 4 years ago
- ☆19Mar 22, 2022Updated 3 years ago
- ☆24Jun 10, 2023Updated 2 years ago
- NO LONGER MAINTAINED. Links to alternative packages are in the readme. Code to incorporate staggered treatment adoption (based on appendi…☆20Apr 30, 2023Updated 2 years ago
- Tutorial on the implementation of difference-in-difference analyses for estimating the effect of a group-level treatment among the treate…☆13Sep 8, 2023Updated 2 years ago
- My user-written commands/packages for data analysis in Stata☆20Oct 12, 2020Updated 5 years ago
- Two-stage Difference-in-Differences package following Gardner (2021)☆110Dec 11, 2025Updated 2 months ago
- Nice distribution plots with minimum user input☆18Jul 18, 2025Updated 6 months ago
- Create industry-level aggregates for shift-share IV following Borusyak, Hull, and Jaravel (2022)☆28Nov 2, 2025Updated 3 months ago
- Difference-in-Differences☆42May 18, 2022Updated 3 years ago
- Network Regressions in Stata☆20Dec 11, 2024Updated last year
- R-code to compare some staggered did methods☆26Dec 27, 2021Updated 4 years ago
- Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2022. Taught by Ed Rubin.☆13Mar 5, 2022Updated 3 years ago
- Stata module that calculates the weights underlying two-way fixed effect event studies☆19Aug 29, 2021Updated 4 years ago
- Treatment Effects in Interactive Fixed Effects Model☆17Feb 24, 2025Updated 11 months ago
- a Stata module for machine learning (ML) algorithms, implemented within R using rcall package☆10May 10, 2023Updated 2 years ago
- Stata command to perform specification curve analysis and generate output plots.☆18Feb 5, 2025Updated last year
- ☆30Dec 20, 2021Updated 4 years ago
- This repo contains the codes for Baker, Larcker, Wang - "How Much Should We Trust Staggered Difference-in-Differences Estimates?"☆50Mar 19, 2021Updated 4 years ago
- Causal inference GitHub for UT Austin☆28May 2, 2022Updated 3 years ago
- Fast graphing commands for visualization of large datasets in Stata☆13Oct 23, 2023Updated 2 years ago
- Generic functions for treatment effects with panel data☆12Jan 10, 2025Updated last year
- Stata module for fast wild bootstrap-based inference. Releases posted here are appropriate for use, and are usually posted promptly on SS…☆13Oct 8, 2025Updated 4 months ago
- TWFE weights☆11Oct 27, 2024Updated last year
- Causal-inference oriented doctoral econometrics course at UO☆14Jun 9, 2022Updated 3 years ago
- Synthetic-Control-and-Clustering taught by Alberto Abadie☆59Dec 19, 2024Updated last year
- Robust inference in difference-in-differences and event study designs (Stata version of the R package of the same name)☆103Apr 2, 2025Updated 10 months ago
- Multiple Treatment Effects☆24Jul 18, 2025Updated 6 months ago
- ☆14Sep 4, 2024Updated last year
- create event study graphs in stata☆13Apr 23, 2021Updated 4 years ago
- Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2023) Taug…☆10Mar 20, 2023Updated 2 years ago
- ☆17Aug 19, 2024Updated last year
- Estimates the weights and the measure of robustness to treatment effect heterogeneity attached to the two-way fixed effects regressions s…☆23May 16, 2021Updated 4 years ago
- A tool to run a pool of synthetic controls, conduct inference, and produce visualizations.☆44Nov 14, 2021Updated 4 years ago