# Causal InferenceWhat If

**Repository Path**: econometric/causal_inference_python_code

## Basic Information

- **Project Name**: Causal InferenceWhat If
- **Description**: Python Code for Causal Inference: What If
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 13
- **Forks**: 16
- **Created**: 2020-03-01
- **Last Updated**: 2025-03-17

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Python Code for _Causal Inference: What If_

This repo contains Python code for Part II of the book _Causal Inference: What If_, by Miguel Hernán and James Robins ([book site](https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/)):

> Hernán MA, Robins JM (2020). _Causal Inference: What If_. Boca Raton: Chapman & Hall/CRC.

The code here roughly corresponds to the Stata, R, or SAS programs found at the book site.


## Python dependencies

Required Python packages:

- numpy
- pandas
- statsmodels
- scipy
- matplotlib
- linearmodels
- tqdm

If you use the [Anaconda](https://www.anaconda.com/distribution/) distribution of Python, you'll have most of those packages already, and you'll only need to install

- linearmodels
- tqdm


## Data

The data can be obtained from the [book site](https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/).

The notebooks all assume that the Excel version of the data has been saved in the same directory as the notebooks.


## Author

James Fiedler, with contributions from [Petty PY Chen](https://github.com/pettypychen) and [Piyush Madan](https://github.com/piyushmadan)