Summer Term 2024
Teaching
BA: Statistics
Type | Period | Time | Room | Lecturer |
---|---|---|---|---|
LE (2 SWS) | 08.04.2024 - 19.07.2024 | Monday 14.00 - 16.00 | 3.06.H03 | Dr. Stefan Tübbicke |
PR (2 SWS) | 15.04.2023 - 19.07.2024 | Tuesday 12.00 - 14.00 | 3.06.H08 | Sophie Wagner |
PR (2 SWS) | 15.04.2023 - 19.07.2024 | Wednesday 10.00 - 12.00 | 3.06.H08 | Sophie Wagner / Louis Klobes |
PR (2 SWS) | 15.04.2023 - 19.07.2024 | Wednesday 14.00 - 16.00 | 3.06.H08 | Louis Klobes |
PR (2 SWS) | 15.04.2023 - 19.07.2024 | Thursday 12.00 - 14.00 | 3.06.H08 | Susanna Wirthgen |
PR (2 SWS) | 15.04.2023 - 19.07.2024 | Thursday 14.00 - 16.00 | 3.06.H08 | Susanna Wirthgen |
Exam
- Written exam (90 min.)
Creditable as
- B.BM.VWL.410
Content
This course deals with fundamental statistical methods and their applicability in business administration and economics. Students will be enabled to analyze economic theories and issues statistically and to interpret the results with regard to their content. After completion the students should have a methodological base for further studies.
Topics
- Descriptive Statistics
- Data Collection and Data Presentation
- Probability Calculus
- Inferential Statistics
Literature
- Schira, J. (2016): Statistische Methoden der VWL und BWL. Pearson Studium.
- Schlittgen, R. (2012): Einführung in die Statistik. Oldenbourg Verlag.
BA: Seminar
Type | Period | Day/Time | Room | Lecturer |
---|---|---|---|---|
SE | 09.04.2024 - 28.06.2024 | See announcement | Prof. Dr. Marco Caliendo, Felix Degenhardt, Dr. Katrin Huber, Aiko Schmeißer |
Download
- Seminar announcement (German)
- Formal requirements (German)
- Template: Declaration of academic honesty (German)
- Template: Declaration of consent (German)
Dates
See announcement.
Note: The appointments take place punctually at the specified time (s.t.).
Exam
- Participation in all meetings
- Compliance with all dates and deadlines
- Seminar paper (max. 15 pages)
- Final presentation
Creditable as
- Economics: B.VM.VWL.410, B.VM.VWL.420, B.VM.VWL.113
Requirements
- BA: Statistics
- BA: Empirical Economics / Econometrics
- STATA introductory course
BA: Colloquium
Type | Period | Day/Time | Room | Lecturer |
---|---|---|---|---|
C | 23.04.2024 - 09.07.2024 | Tuesday 16.00-18.00 | 3.06.S21 | Prof. Dr. Marco Caliendo |
Students enroll in this colloquium during their Bachelor thesis.
Creditable as
- Economics: B.FK.VWL.110, B.KO.PUW.110
BA: Introduction to Computer-Based Data Analysis (Key Skill)
More information can be found on the homepage of the Chair of Methods of Empirical Social Research of Prof. Dr. U. Kohler.
BA/MA: Systematic Review and Meta-Analyses
Type | Period | Day/Time | Room | Lecturer |
---|---|---|---|---|
SE | 06.06.-07.06.2024 13.06.-14.06.2024 20.06.-21.06.2024 04.07.-05.07.2024 11.07.-12.07.2024 | Thursday 14.00 -18.00 Friday 08:00 - 12:00 | 3.07.0.39 | Prof. Dr. Hilmar Schneider |
The course is held in English.
Exam
Portfolioprüfung
Creditable as
- B.VM.VWL.410, B.VM.VWL.420, B.VM.VWL.113
- MA-M-220, MA-M-310, MA-E-220
Content
Assessing the state of scientific evidence in empirical economics is more and more becoming a key challenge not only for researchers, but also for policy makers. The fast growing amount of empirical literature calls for efficient methods of screening and assessment. The provision of systematic reviews and meta-analyses is meant to cope with this challenge by applying rigorous and transparent criteria for information processing.
This course is about the principles of systematic reviews and meta-analyses. Examples will be taken from active labor market policies, welfare policies, housing policies, financial education, development policies, climate policies and the like. The role of replications as a validation tool is also addressed. The course aims at enabling students to critically assess systematic reviews and meta-analyses. Students will be given the opportunity to run their own meta-analyses.
MA: Policy Evaluation
Type | Period | Time | Room | Lecturer |
---|---|---|---|---|
LE (2 SWS) | 08.04.2024 - 19.07.2024 (irregular schedule) | Tuesday 10.00 - 12.00
| 3.06.H06 | Prof. Dr. Marco Caliendo |
A-PR (2 SWS) | 08.04.2024 - 19.07.2024 (irregular schedule) | Tuesday 10.00 - 12.00
| 3.06.H06 | Prof. Dr. Marco Caliendo, Dr. Katrin Huber |
A-PR (STATA Help Session & Office Hour) | 08.04.2024 - 19.07.2024 irregular schedule | Monday 11:00 - 12:00 (optional) | Online | Dr. Katrin Huber |
A-PR (STATA Practice) | 08.04.2024 - 19.07.2024 irregular schedule | Monday & Friday, 10.00 - 12.00 (optional; unassisted) | 3.01.1.65a | Dr. Katrin Huber |
The course is held in English.
Downloads
Exam
- Written exam (90 min) and presentation in the theoretical session
- Active participation and presentation in practical sessions
- Term paper
Creditable as
- MA-S-600, MA-M-110, MA-M-120, NIA-M.9, NIA-M.10
Requirements
- MA: Advanced Microeconometrics strongly recommended
Content
The aim of this course is to provide participants with a deeper understanding of microeconometric estimation techniques. We will use the topic “Policy Evaluation” to illustrate and discuss several methods under various types of assumptions.
Topics
- Causality and the Potential Outcome Framework
- Experiments
- Unconfoundedness
- Matching
- Difference-in-Differences
- Instrumental Variables
- Regression Discontinuity
The lecture will be complemented by a practical computer session where the estimators will be implemented using STATA.
Literature
- Caliendo, M. and Hujer, R. (2006): The Microeconometric Estimation of Treatment Effects - An Overview, Journal of the German Statistical Society / Allgemeines Statistisches Archiv, 90(1), 197-212.
- Imbens, G., and J.M. Wooldridge (2009): Recent Developments in the Econometrics of Program Evaluation, Journal of Economic Literature, 47(1), 5-86.
- A detailed reading list with relevant papers will be distributed in due time.
MA: Research Colloquium
Type | Period | Day/Time | Room | Lecturer |
---|---|---|---|---|
C | 23.04.2024 - 09.07.2024 | Tuesday 18.00 - 20.00 | 3.06.S21 | Dr. Katrin Huber |
Students enroll in this colloquium during their Master thesis.
The event is held in English.
Creditable as
- Economics: MA-F-100, MA-FK-600