| Lehrende/r // Teacher: | Prof. Dr. Reyn van Ewijk / Paul Witte / Nadja Hartmann |
| Veranstaltungsart // Type of Course: | Lecture with integrated exercises |
| Anzeige im Stundenplan: | Micro Econometrics |
| Semesterwochenstunden // Semester Hours per Week: | 2+1 (lecture (2 hours) with integrated exercises (1 hour)) |
| Credits: | 6 ECTS |
| Time / Place of Lecture: | Mondays 10:15 -12:45 PC-Pool (00-265) |
| First Lecture: | 27. Okt. 2025 |
| Language: | Englisch |
Prerequisites / Organizational:
Please note that this course assumes that you already have some experience with regression analysis and ordinary least squares (OLS) estimation (prior participation in the course “Empirische Wirtschaftsforschung” (Empirical Economics) or a comparable course is strongly recommended). If you have no prior knowledge in regression analysis, you will have to acquire the missing knowledge during the first weeks of lectures in self-study. All methods considered in this course are based on the OLS regression model.
Content
The course offers an introduction to the econometric analysis of individual data (data on individuals, households, firms, etc.) using a selection of frequently used statistical methods. The statistical methods covered include methods for analyzing panel data and regressions with binary dependent variables. These methods have a wide range of applications, e.g. health, education, labor market, behavioral and industrial economics, and marketing (e.g. analysis of buyer behavior and consumer satisfaction). In this course, students not only learn the theory of the methods, but also gain experience in reading scientific articles and handling statistical analyses using the program Stata.
Learning goals
After completing the module, students should have a thorough understanding of the methods of applied econometrics covered in this course, such as limited dependent variables, fixed effects, random effects and difference-in-differences. Students should:
- know how to conduct empirical research using these methods,
- know about intuition behind the methods, assumptions, estimation, interpretation and strengths and weaknesses
- be able to carry out independent analyses using the statistical software Stata and apply the methods,
- have acquired the ability to critically evaluate research, especially with regard to causality.
Literature:
- Stock JH, Watson MM (2019). Introduction to Econometrics. Pearson. 4th edition. (Chapters 4-7, 10, 11)
- Huntington-Klein, N. (2021). The effect: An introduction to research design and causality. Chapman and Hall/CRC. (Chapters 16 & 18) Available for free online at https://theeffectbook.net/
- Wooldridge, J. M. (2015). Introductory econometrics: A modern approach. Cengage learning. (Chapters 13 & 14)
- Selected scientific articles
Additional Information:
This course is held as a lecture with integrated exercises. The course starts at 10.15 am and goes until 12.45.