Winter Term 2021/22
Teaching
BA: Empirical Economics / Econometrics
Type | Period | Day/Time | Room | Lecturer |
---|---|---|---|---|
VL (2 SWS) | 25.10.2021 - 17.02.2022 | weekly Monday 14.00 - 16.00 | 3.06.H05 | Dr. Katrin Huber |
UE 1 (2 SWS) | 25.10.2021 - 17.02.2022 | weekly Tuesday 12.00 - 14.00 | 3.06.H05 | Cosima Obst |
UE 2 (2 SWS) | 25.10.2021 - 17.02.2022 | weekly Wednesday 12.00 - 14.00 | 3.06.H05 | Paula Körner |
UE 3 (2 SWS) | 25.10.2021 - 17.02.2022 | weekly Wednesday 14.00 - 16.00 | 3.06.H02 | Sophie Wagner |
UE 4 (2 SWS) | 25.10.2021 - 17.02.2022 | weekly Thursday 10.00 - 12.00 | 3.06.H02 | Sophie Wagner |
The course will be complemented by the Key Skill module B.SK.VWL.210/ B.SK.MET.210 "Einführung in die computergestützte Datenanalyse" which is organized by the Chair of Empirical Social Research (Prof. Dr. Kohler). More information is available here.
Downloads
- Exam Results Winter Term 2021/22 (German)
- Exam Results Winter Term 2021/22 (Intermediate)(German)
- Exam Results Summer Term 2022 (retake exam) (German)
Exam
- Written exam (90 min)
Creditable as
- Economics: B.BM.VWL.420, B.VM.VWL.610
- Business Administration: BA-P-602
- "Studiumplus": BA-SK-W-1
Requirements
- BA: Statistics strongly recommended
Content
The aim of this course is to provide the participants with a basic understanding of empirical economics and to give them an introduction to econometrics. Building on the lecture "BA: Statistics" the participants shall be enabled to conduct empirical analysis on their own.
Topics
- Analysis of economic relationships
- Introduction to econometrics
- Estimating, testing and interpreting the simple and multiple regression model framework
- Problems and extensions of the multiple regression model
- Policy evaluation
- Introduction to STATA
Literature
- Schira, J. (2012): Statistische Methoden der VWL und BWL. Pearson Studium.
- Wooldridge, J. (2016): Wooldridge (2016): Introductory Econometrics. A Modern Approach, Cengage Learning, Ohio.
- Kohler, U., Kreuter, F. (2012): Datenanalyse mit Stata. Oldenburg Verlag.
BA: Colloquium
Type | Period | Day/Time | Room | Lecturer |
---|---|---|---|---|
C | 02.11.2020 - 08.02.2021 | Monday 16.00-18.00 | 3.06.S12 | Prof. M. 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)
The course is provided by the Chair of Methods of Empirical Social Research (Prof. Dr. Kohler).
More information can be found on PULS and on the homepage of the Chair of Methods of Empirical Social Research of Prof. Dr. U. Kohler.
BA: Self-reflection and Planing (Key Skill)
You can find further information here.
MA: Advanced Microeconometrics
Type | Period | Day/Time | Room | Lecturer |
---|---|---|---|---|
LE (2 SWS) | 25.10.2021 - 25.01.2022 | see Time Schedule | see Time Schedule | Prof. M. Caliendo |
A-PR (2 SWS) | 16.11.2021 - 08.02.2022 | see Time Schedule | see Time Schedule | Paula Körner, Daniel Rodríguez, Aiko Schmeißer |
A-PR (Stata) | 29.10.2021 - 07.02.2022 | see Time Schedule | see Time Schedule | Paula Körner, Daniel Rodríguez, Aiko Schmeißer |
The course is held in English.
Downloads
Exam
- Written exam
- Active participation during practical sessions
- Oral presentations
Creditable as
- Economics: MA-B-300, MA-600
Content
The aim of this lecture is to familiarize participants with microeconometric estimation techniques. The lecture will be complemented by a practical session.
Outline
- Multiple Regression
- Instrumental Variables
- Panel Data Methods
- Limited Dependent Variables
Literature
- Wooldridge, J. (2013): Introductory Econometrics. A Modern Approach. South-Western Cengage Learning.
- Cameron, C., and P. K. Trivedi (2005): Microeconometrics. Methods and Applications. Cambridge University Press, New York.
- Greene, W. H. (2012): Econometric Analysis. Pearson, Massachusetts.
- Kohler, U., Kreuter, F. (2008): Datenanalyse mit Stata. Oldenburg Verlag.
- Cameron, C., and P. K. Trivedi (2010): Microeconometrics Using Stata, Stata Press, College Station, Texas.
MA: Machine Learning
Type | Period | Day/Time | Room | Lecturer |
---|---|---|---|---|
SE | 02.12.2021 | Thursday 9.00 - 18.00 | online event | Dr. Marica Valente |
SE | 03.12.2021 | Friday 9.00 - 18.00 | online event | Dr. Marica Valente |
SE | 09.12.2021 | Thursday 9.00 - 18.00 | online event | Dr. Marica Valente |
SE | 10.12.2021 | Friday 9.00 - 18.00 | online event | Dr. Marica Valente |
SE | 13.01.2022 | Thursday 9.00 - 18.00 | online event | Dr. Marica Valente |
SE | 14.01.2022 | Friday 9.00 - 18.00 | online event | Dr. Marica Valente |
This event is held in English.
The seminar will take place online. To receive the Zoom link please contact Cosima Obst.
Downloads
Content
- Statistics, econometrics and machine learning.
- Contrasts with traditional approaches.
- How to use machine learning methods for prediction?
- How to use machine learning tools in R?
- Tree-based methods in R.
- Parametric methods.
- How to conduct empirical research?
- How to write an empirical paper?
Exam
- Oral exam (25%)
- Term paper (75%)
MA: Research Seminar
Type | Period | Day/Time | Room | Lecturer |
---|---|---|---|---|
RS/C | 25.10.2021 - 18.02.2022 | see Syllabus | Prof. M. Caliendo, Dr. Katrin Huber, Aiko Schmeißer |
This event is held in English.
Download
Dates
This is a tentative schedule. Final schedule depends on enrollment.
- 25.10.21, 16 - 18, Room S12: Kick-off meeting.
- 29.10.21, midnight: Deadline for registration via email.
- 05.11.21, 10 - 14 Room S17: Lecture and Q&A: How to write a referee report? How to give a research presentation?
- 12.11.21, midnight: Referee report 1 due.
- 17.11.20, 14 - 18 Room S15: Presentation and Discussion Topic 1: Automation and Labor Markets
- 24.11.21, midnight: Referee report 2 due.
- 01.12.21, 14 - 18 Room S15: Presentation and Discussion Topic 2: Migration and the Contact Hypothesis.
- 17.12.21, 10 - 14 Room S17: Lecture and Q&A: How to come up with a research idea? How to write a research proposal/paper.
- 12.01.22, 14 - 18 Room S15: First presentation of research idea.
- Optionally: January Discussion of research ideas in additional session or individual office hours.
- 11.02.22, 10 - 14 Room S17: Final presentation of research idea.
- Deadline tba Research proposal due.
Creditable as
- Economics: MA-FK-600, MA-W-210/220
Requirements
- MA: Microeconometrics
- MA: Public Policy Evaluation recommended
Exam
The final grade will be awarded based on the performance in the 2 referee reports, in 1-2 presentations/discussions, and the research proposal.
Information
Title: "DIY: Research Idea Development Seminar"
The main aim of this do-it-yourself (DIY) research seminar is to help you to develop and work on your own research idea. On the way you will learn some essential research skills, e.g. refereeing a paper, developing a research outline or presenting research ideas and work-in-progress in front of other researchers.
All ideas in the field of Labor Economics, Policy Evaluation, Population Economics or related areas are welcome. Data exploration, acquisition, and/or generation can be part of the research development process. We will also support you in case you plan to request access to survey data (e.g. SOEP, BIBB BAuA) or admin data (e.g. FDZ IAB data).
MA: Research Colloquium
Type | Period | Day/Time | Room | Lecturer |
---|---|---|---|---|
C | 25.10.2021 - 14.02.2022 | Monday 18.00 - 20.00 | 3.06.S12 | Prof. M. Caliendo |
Students enroll in this colloquium during their Master thesis.
The event is held in English.
Creditable as
- Economics: MA-F-100, MA-FK-600