A short course on Concepts and Methods in Causal Inference

Lecture 1 gave an introduction to key concepts in causal inference: to the language of counterfactuals (part A) and to causal diagrams (part B), and was accompanied by a pen & paper practical. Lectures 2-5 covered in more detail particular statistical methods used in causal inference, grouped according to the sort of causal question they address, and the structure of the data available to answer them. Each of these lectures was followed by a computer practical using Stata.