Course type
IWH-DPE Foundation Course, CGDE First-year Course
Lecturers
Professor Dr Julia Schaumburg (Vrije Universiteit Amsterdam) and Professor Dr Sabrina Jeworrek (IWH and Otto von Guericke University Magdeburg)
Summary
This is the third course of the first-year triple sequence in Econometrics.
In the first part, students learn about maximum likelihood-based estimation and testing of parametric models. The general theory is discussed alongside examples of linear and nonlinear models. It also covers econometric models for binary outcomes, including empirical examples from economics and business.
In the second part, students are introduced into the statistical aspects of an experimental design and become acquainted with randomization techniques and power analyses. The major part of the lecture period, however, will be used to develop an understanding for how to handle an experimental dataset. Specifically, students will learn how to test for treatment effects using parametric and non-parametric tests, how (and when) to use regression analyses and what is special about repeated games and within-subject designs.
Schedule
13.04.2026 10:30-12:00 and 13:00-14:30 IWH, Leipziger Str. 100, 3rd floor, Conference Room
27.04.2026 10:30-12:00 and 13:00-14:30 IWH, Leipziger Str. 100, 3rd floor, Conference Room
12.05.2026 10:30-12:00 and 13:00-14:30 IWH, Leipziger Str. 100, 3rd floor, Conference Room
19.05.2026 10:30-12:00 and 13:00-14:30 IWH, Leipziger Str. 100, 3rd floor, Conference Room
Content
1. Maximum Likelihood Estimation
2. Binary Outcomes
3a. Experimetrics: Experimental Design Issues
3b. Experimetrics: Analysing the Data
Course requirements
Attendance at all lectures is mandatory and a prerequisite to submit solutions for the assignments.
Students will receive a total of three problem sets, each to be solved within two weeks. Course completion requires passing of all assignments.
Required Reading
1. Maximum Likelihood Estimation
Magnus, J. (2021). Introduction to the theory of econometrics. VU University Press.
Hansen, B. (2022). Probability and Statistics for Economists. Princeton University Press.
2. Binary Outcomes
Hansen, B. (2022). Econometrics. Princeton University Press.
3. Experimetrics
Moffatt, P.G. (2015): Experimetrics: Econometrics for Experimental Economics. Palgrave: London.
Kraska-Miller, M. (2013): Nonparametric Statistics for Social and Behavioral Sciences. CRC Press: Boca Raton.
Gerber, A.S. & Green, D. (2012): Field experiments: Design, analysis, and interpretation. W.W. Norton & Company, Inc.: New York.
Registration
Please register for the course until March 31, 2026 by sending an e-mail to cgde@iwh-halle.de.