# python-causality-handbook

**Repository Path**: watermelonTT/python-causality-handbook

## Basic Information

- **Project Name**: python-causality-handbook
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-12-23
- **Last Updated**: 2020-12-23

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Causal Inference for The Brave and True

![img](./causal-inference-for-the-brave-and-true/data/img/brave-and-true.png)

A light-hearted yet rigorous approach to learning impact estimation and sensitivity analysis. Everything in Python and with as many memes as I could find.

[Check out the book here!](https://matheusfacure.github.io/python-causality-handbook/landing-page.html)

Some really kind folks (@vietecon, @dinhtrang24 and @anhpham52) also translated this content into Vietnamese:

[Nhân quả Python](https://github.com/vietecon/NhanQuaPython)


I like to think of this entire series as a tribute to Joshua Angrist, Alberto Abadie and Christopher Walters for their amazing Econometrics class. Most of the ideas here are taken from their classes at the American Economic Association. Watching them is what is keeping me sane during this tough year of 2020.
* [Cross-Section Econometrics](https://www.aeaweb.org/conference/cont-ed/2017-webcasts)
* [Mastering Mostly Harmless Econometrics](https://www.aeaweb.org/conference/cont-ed/2020-webcasts)

I'll also like to reference the amazing books from Angrist. They have shown me that Econometrics, or 'Metrics as they call it, is not only extremely useful but also profoundly fun.

* [Mostly Harmless Econometrics](https://www.mostlyharmlesseconometrics.com/)
* [Mastering 'Metrics](https://www.masteringmetrics.com/)

My final reference is Miguel Hernan and Jamie Robins' book. It has been my trustworthy companion in the most thorny causal questions I had to answer.

* [Causal Inference Book](https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/)