This is a short (and incomplete!) course teaching several applied econometric methods in Stata. The course is currently divided into 4 short guided tutorials, which are best done in sequence. Click on each section below to access the tutorial.

1. Introduction to Stata
2. Exploring and cleaning data
3. Plotting data
4. Randomized experiments and t-tests

For the econometric concepts, see either Imbens and Rubin (2015) or Angrist and Pischke (2008).

No coding experience is required. All datasets used are publicly available, so I would suggest running through each section, copying and running the code for yourself.

Each tutorial was created using the excellent Stata Markdown, developed by Germán Rodríguez.

This course is designed by Jack Blundell

References:

Imbens, Guido W., and Donald B. Rubin. Causal inference in statistics, social, and biomedical sciences. Cambridge University Press, 2015.

Angrist, Joshua D., and Jörn-Steffen Pischke. Mostly harmless econometrics: An empiricist’s companion. Princeton university press, 2008.