S220 Quantitative Methods in Economics and Business Administration
Details
Lecturer:
Prof. Dr. Martin Biewen
Profiles:
B.Sc. in Economics and Business Administration B.Sc. in International Economics B.Sc. in International Business Administration Bachelor-Nebenfach Betriebswirtschaftslehre Bachelor-Nebenfach Volkswirtschaftslehre
Prerequisites:
Introductory Descriptive Statistics (Explorative Datenanalyse in Tübingen)
Basic Probability Theory (Wahrscheinlichkeit und Risiko in Tübingen)
Language:
English
Time and Place:
Mon 16:15-17:45, HS 21
Start:
12.10.2026
Exam:
After the exam, you may inspect your marked exam paper at our offices on a specific date, which will be announced on our webpage. Please check the “News” section of our webpage after the exam for further information. There will be no other opportunity to inspect your exam paper (no alternative dates or other options, such as online inspection).
Important note for exchange students: Please make sure that you are still in Tübingen for the written exam, which will typically take place in the first or second week after the lecture period has ended. There will be no alternative options, such as remote exams or oral examinations.
Credits:
6 ECTS
Please note that, due to limited capacity, only students who can officially count this course towards their degree at the University of Tübingen are eligible to take the exam. In case of doubt, please contact the lecturer at the beginning of the semester.
Tutorials
Registration for the different tutorial groups starts on Monday, 12 October 2026, at 18:00 via ILIAS. The number of participants in each group is limited, and places will be allocated on a first-come, first-served basis.
There will be three tutorial groups, taking place at the following times:
Clemens Lichtenthaler, Hörsaal S320 (Hölderlinstraße/Sigwartstraße)
Please prepare for the tutorials by working on the problem sets independently in advance. The tutorials will only take place during the weeks indicated below. There will be no tutorials in the remaining weeks.
Tutorial schedule:
27.10.2026
Problem Set 1
03.11.2026
Problem Set 2
10.11.2026
Problem Set 3
17.11.2026
Problem Set 4
23.11.2026
Problem Set 5
01.12.2026
Problem Set 6
08.12.2026
Problem Set 7
15.12.2026
Problem Set 8
12.01.2027
Problem Set 9
19.01.2027
Problem Set 10
27.01.2027
Problem Set 11
02.02.2027
exam prep
Course materials
Course materials can be accessed via ILIAS. Log in with your university account, register for the course, and go through all folders. Please download all documents to your personal computer, as you may not always have access to the internet.
Course outline
1) Introduction
2) Point estimation
3) Interval estimation
4) Statistical testing
5) Specific test procedures
6) Multivariate regression analysis
7) Introduction to Stata
8) Stochastic processes and time series models
9) Overview of multivariate statistical methods (including machine learning)
References
This course is based on the German textbook Schira: Statistische Methoden der VWL und BWL. Theorie und Praxis. Pearson Studium, Munich. You are not required to read the textbook, as all course materials are provided in English.