Each lesson will have a set of readings that you are expected to read before the class session. Readings include Colab notebooks, sections of textbooks, and course notes. We will use the Colab notebooks during class and in the problem sets. The course notes highlight the key concepts of the lesson with my own commentary. The supplemental resources are materials that may be helpful if you need to review or want more detail.

Lesson 1: Causality fundamentals

Lesson 2: Random sampling and statistical tests

Lesson 3: Regression for estimation in experiments

Lesson 4: Practical complications and biased ATE estimates

Lesson 5: Practical complications and inference

Lesson 6: Decision-making and experiments

Reference books

Digital copies are available from the library. Open access texts can be downloaded from the publisher free of charge.