Statistics, Econometrics and Quantitative Methods

S510/520 Master Seminar on Econometrics



Prof. Dr. Martin Biewen
Prof. Dr. Joachim Grammig
Dr. Julie Schnaitmann
Dr. Jantje Sönksen

Dalia Elshiaty

Constantin Hanenberg

Miriam Sturm

Marian Rümmele


MSc Accounting and Finance
MSc Economics and Finance
MSc European Economics
MSc European Management
MSc General Management
MSc International Business
MSc International Economics
MSc Management and Economics
MSc Economics

MSc Data Science in Business and Economics

Prerequisites:   At least one successfully completed master course offered by the chairs of Prof. Biewen and/or Prof. Grammig.
Language:   English
Introductory session:  

Tue 18.10.2022, 16-18, room SR 063 Neue Aula

If you want to participate in the seminar please write by Sun 16.10.2022 an email with your transcript and topics/fields of interest to miriam.sturmspam

Deadline for Submission of Term Paper  

12.01.2023, 12:00

You have to submit a printed copy to the office of the chair and a pdf to your personal supervisor

Presentation of Term Paper   20.01.2023 (whole day), room and time tba
Exam:   1) Term paper
2) Paper presentation
3) Discussion of another paper
Credits:   9 ECTS

Seminar outline

The seminar will be held jointly by the chair of Prof. Biewen and Prof. Grammig. Topics of the seminar will be chosen from the following fields: 1) Time Series Analysis, 2) Financial Econometrics, 3) Microeconometrics, 4) Panel Data Analysis. We expect and encourage participants to come up with ideas for their own topics (of course, we will provide assistance in finding a suitable topic). We expect all participants to prepare a professional presentation and a term paper on their topic, which may include a small empirical application using data such as the German Socio-Economic Panel Study or a data set from the field of finance. If you are interested in carrying out your own empirical project we recommend you to read chapter 19 "Carrying out an Empirical Project" of Wooldridge's book "Introductory Econometrics".