NickCH-K / CausalitySlidesLinks
Slides for the Seattle University Causal Inference Class
☆143Updated 4 years ago
Alternatives and similar repositories for CausalitySlides
Users that are interested in CausalitySlides are comparing it to the libraries listed below
Sorting:
- Homework assignments to go along with The Effect☆67Updated 2 months ago
- This is the repository for the slides used in the Seattle University Econometrics course☆157Updated 6 months ago
- Replication code and downloadable example data sets for The Effect☆201Updated 2 months ago
- Doubly Robust Difference-in-Differences Estimators☆93Updated last month
- Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam☆215Updated last year
- Causal Inference Mixtape Sessions☆98Updated 3 years ago
- Matrix Completion Methods for Causal Panel Data Models☆103Updated 4 years ago
- ☆92Updated 3 weeks ago
- fixed effect counterfactual estimators☆78Updated 2 weeks ago
- This repository consolidates my teaching material for "Causal Machine Learning".☆260Updated 3 weeks ago
- Robust inference in difference-in-differences and event study designs☆217Updated 8 months ago
- Class materials for "Economics, Causality, and Analytics"☆121Updated 5 years ago
- Causal-inference oriented doctoral econometrics course at UO☆82Updated 4 years ago
- Augmented Synthetic Control Method☆161Updated 9 months ago
- Coding course to complete Data Analysis in R☆128Updated last year
- Generalized Synthetic Control Method☆144Updated 7 months ago
- ☆100Updated 5 years ago
- A Swirl course for introductory econometrics☆68Updated last year
- Packages of Example Data for The Effect☆149Updated last year
- Causal Inference II Mixtape Session taught by Scott Cunningham☆215Updated 3 months ago
- ☆86Updated 2 years ago
- Doing Applied Economics Research Mixtape Track taught by Mark Anderson and Daniel Rees☆115Updated 10 months ago
- Two-stage Difference-in-Differences package following Gardner (2021)☆108Updated last month
- Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taugh…☆81Updated 4 years ago
- Causally oriented doctoral econometrics course at UO, taught by Ed Rubin☆87Updated 5 years ago
- Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.☆87Updated 3 months ago
- Advanced causal inference and research design course☆93Updated 4 years ago
- Design-Based Inference Mixtape Session taught by Peter Hull☆43Updated 10 months ago
- Instrumental Variables Mixtape Track taught by Peter Hull☆117Updated 9 months ago
- Machine Learning and Heterogeneous Effects taught by Brigham Frandsen☆66Updated this week