Exploring causality in Python. Difference-in-differences

Exploring causality with Python. Difference-in-differences

Establishing causality is one of modern analytics's most essential and often neglected areas. I would like to describe and highlight the tools most used in our causal inference workshop in an upcoming series of articles.

Causal inference 101

Let’s start by defining causal inference. I will use Scott Cunningham’s definition from the Mixtape book.

He defines it as the study of estimating the impact of events and choices on …

causal inference data science economics python statistics