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https://github.com/umbertomig/POLI273
https://github.com/umbertomig/POLI273
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/umbertomig/POLI273
- Owner: umbertomig
- License: mit
- Created: 2023-03-30T01:12:14.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-04-25T14:36:00.000Z (over 1 year ago)
- Last Synced: 2024-07-28T09:31:52.468Z (about 2 months ago)
- Language: Jupyter Notebook
- Size: 1.81 MB
- Stars: 7
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# POLI 273 - Causal Inference
## [Dr. Umberto Mignozzetti](www.umbertomig.com)
Repo for the UCSD PoliSci Causal Inference course.
Folders:
1. `assignments`: Assignments and questions
2. `coding`: Coding, mostly in R, Python, and Stata
3. `data`: Datasets used in the class, assignments, or other cool things I find
4. `papers`: Markdown with links to relevant papers and data repos
4. `slides`: Slides for this class
This class was based on the following materials (not in any particular order):
1. [*Causal Inference* by Cunningham](https://mixtape.scunning.com)
2. [*Causal Inference* by Hernán and Robins](https://www.routledge.com/Causal-Inference-What-If/Hernan-Robins/p/book/9781420076165)
3. [*Causal Inference in Statistics* by Pearl, Glymour, and Jewell](https://www.wiley.com/en-us/Causal+Inference+in+Statistics%3A+A+Primer-p-9781119186847)
4. [*Counterfactuals and Causal Inference* by Morgan and Winship](https://www.cambridge.org/core/books/counterfactuals-and-causal-inference/5CC81E6DF63C5E5A8B88F79D45E1D1B7)
5. [*Econometric Analysis* by Greene](https://www.pearson.com/en-us/search.html?aq=Greene%20Econometric-Analysis-8th-Edition)
6. [*Field Experiments* by Gerber and Green](https://wwnorton.com/books/9780393979954)
7. [*Foundations of Agnostic Statistics* by Aronow and Miller](https://www.cambridge.org/core/books/foundations-of-agnostic-statistics/684756357E7E9B3DFF0A8157FB2DCECA)
8. [*Mostly Harmless Econometrics* by Angrist and Pischke](https://press.princeton.edu/books/paperback/9780691120355/mostly-harmless-econometrics)
9. [*The Effect* by Huntington-Klein](https://theeffectbook.net)
10. [*Thinking Clearly with Data* by Bueno de Mesquita and Fowler](https://press.princeton.edu/books/hardcover/9780691214368/thinking-clearly-with-data)
And many others materials that are scattered on papers, blogs, syllabi of colleagues, and so on.
*Go Tritons!*