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This repo contains Python code for Part II of the bookCausal Inference: What If, by Miguel Hernán and James Robins (book site):

Hernán MA, Robins JM (2020).Causal Inference: What If. Boca Raton: Chapman & Hall/CRC.

This Python version roughly corresponds to the Stata, R, or SAS programs found at the book site, and was also translated into Julia,here.

The code in this repo has been checked against the 30 March 2021 version of the book.

Required Python packages:

• numpy
• pandas
• statsmodels
• scipy
• matplotlib
• linearmodels
• tqdm

If you use theAnaconda distribution of Python, you'll have most of those packages already, and you'll only need to install

• linearmodels
• tqdm

The data can be obtained from thebook site.

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

James Fiedler, with contributions fromPetty PY Chen andPiyush Madan