scunning1975 / mixtape
Data and Program files for Causal Inference: The Mixtape
☆422Updated 2 months ago
Alternatives and similar repositories for mixtape
Users that are interested in mixtape are comparing it to the libraries listed below
Sorting:
- Synthetic difference in differences☆281Updated last year
- ☆234Updated 2 years ago
- Causal Inference II Mixtape Session taught by Scott Cunningham☆202Updated 3 weeks ago
- A PhD course in Applied Econometrics and Panel Data☆308Updated 7 months ago
- (Advanced) Applied Econometrics☆270Updated 2 weeks ago
- Causal Inference 1 Mixtape Session taught by Scott Cunningham☆282Updated last month
- This repository consolidates my teaching material for "Causal Machine Learning".☆249Updated 6 months ago
- Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did☆333Updated last month
- PhD Applied Econometrics class taught at UC Berkeley☆262Updated 4 months ago
- Data, Code and other material for CodeChella concert☆165Updated 3 years ago
- Robust inference in difference-in-differences and event study designs☆205Updated 2 months ago
- ☆278Updated 3 years ago
- Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam☆213Updated last year
- Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth☆163Updated 4 months ago
- Augmented Synthetic Control Method☆152Updated 3 months ago
- ☆99Updated 4 years ago
- This is the repository for the slides used in the Seattle University Econometrics course☆150Updated last year
- Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.☆616Updated 2 years ago
- Slides for the Seattle University Causal Inference Class☆135Updated 4 years ago
- Keeping track of what is going on with the latest DiD innovations.☆473Updated 4 months ago
- Replication code and downloadable example data sets for The Effect☆196Updated 4 years ago
- Graduate Empirical Industrial Organization☆221Updated 4 months ago
- Instrumental Variables Mixtape Track taught by Peter Hull☆111Updated 3 months ago
- ☆248Updated 5 months ago
- BLP Demand Estimation with Python☆253Updated this week
- Machine Learning and Causal Inference taught by Brigham Frandsen☆207Updated 4 months ago
- ☆83Updated 2 years ago
- Causal Inference Mixtape Sessions☆95Updated 2 years ago
- Event studies: robust and efficient estimation, testing, and plotting☆168Updated last year
- Matrix Completion Methods for Causal Panel Data Models☆98Updated 3 years ago