SS 2026 — Econometrics Seminar

Ulrich Morawetz — BOKU University


Course information

WISO300578, 2 SS

Required prior knowledge: econometrics (e.g. through attending the Econometrics lecture at BOKU, WISO300582, or very good knowledge of regression analysis from the statistics lecture), basic knowledge of the programming language R, and sufficient English to understand the articles we discuss.

Note: the Econometrics lecture WISO300582 takes place in the first half of the semester, the seminar WISO300578 takes place in the second half. It makes sense to attend both in the same semester.

Grading: in this seminar, participants give presentations on econometric articles. These are discussed with respect to their structure, econometric content, and implementation in R. The grade for the presentation makes up 1/3 of the total grade (what matters is whether the presentation answers the questions in the assignment).

At the beginning of each session you may hand in a note with a question about the method of the presented article (e.g. something that was not clear to you while reading). Oral questions should be asked during the presentation. The notes (1/3) and oral questions (2/3) together make up 1/3 of the total grade.

After each topic area (OLS, Panel, IV) there is a short exam before the presentations. The points from the exams make up 1/3 of the total grade. At the end of the semester, the three exams (or a selection of them) can be retaken if needed.

Anyone who does not collect enough points will be graded negatively (unless no points at all were collected, in which case only a withdrawal is possible).

Current point status

Details

Please learn the basics of the software R independently. I recommend using R in combination with RStudio. There are many introductions available online. A good one is e.g. "A (very) short introduction to R" by Torfs & Brauer (2014). Details on what you should cover in your presentation can be found in the assignment. The articles listed below are available for selection and should be presented on the dates given. Please sign up for a topic on learn.boku.ac.at. Maximum 2–4 people per topic (depending on how many people attend the seminar). Between March 10 and March 24 you can choose your article. Each article can only be presented once, and to be graded you must be present at the presentation.

Ordinary Least Squares (OLS)

Panel Data Methods

Instrumental Variable Regression (IV)

Download papers, data and R code

Note: material links above point to a password-protected folder on this site (course materials are restricted to enrolled students, in part because of publisher copyright on assigned readings). Access is via your BOKU credentials.