The purpose of the course is to prepare PhD students in economics and related disciplines to conduct empirical analyses of micro-level data – e.g., on individuals, firms, and transactions – using econometric methods in Stata.

The course will provide an up-to-date overview on the most commonly used microeconometric methods, such as methods for working with clustered and nested data, estimation involving limited dependent variables, causal inference from observational data, methods for policy evaluation, and open science principles. The course emphasizes hands-on practice, where students apply the methods to practical examples and datasets.

Examples of covered topics:

1. Replicability and reproducibility
2. Non-linear models
3. Cluster-robust inference
4. Difference-in-differences estimation
5. Instrumental variables
6. Regression discontinuity designs
7. Matching

Preliminary Schedule:
1 Tue, May 19, 10:00 – 13:00, Non-linear models
2 Tue, June 2, 10:00 – 13:00, Cluster-robust inference
3 Wed, June 3, 10:00 – 13:00, Difference-in-differences estimation
4 Thu, June 4, 10:00 – 13:00, Instrumental variables
5 Tue, June 9, 10:00 – 13:00, Regression discontinuity designs
6 Wed, June 10, 10:00 – 13:00, Matching
7 Tue, June 16, 10:00 – 13:00, Reserve slot (only used if others need to be canceled)

The course has a maximum of 15 places. The seats are accessible via the "first come, first served" principle. The last day to apply is April 1, 2026.

Application form docx, 58.8 kB.

Course schedule and information pdf, 125.6 kB, opens in new window.

Course syllabus pdf, 135.4 kB, opens in new window.

If you have any questions, please contact the course coordinator:

Associate Professor, docent Marcel Garz
marcel.garz@ju.se