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Lehrangebot im aktuellen Wintersemester 2024/25

The Economics of Terror (Lecture, Master)
Prof. Dr. Günther G. Schulze (Tutorials by Fabian Haas, M.Sc.)
Sprache: Englisch

Reale Außenwirtschaft (Vorlesung, Bachelor)
Prof. Dr. Günther Schulze
Language: Deutsch

Introduction to Empirical Economics Using Stata - Master (2nd year)
Dr. Nikita Zakharov
Sprache: Englisch

Content


Today, quantitative analysis is the primary tool of economists. The course will introduce you to the statistical software – Stata – widely used in empirical research. Participants will master data collection, building datasets, data diagnostics, regression analysis, and production of tabulated and graphical output. The course's ultimate goal is to provide the students with the knowledge and programming skills sufficient to undertake empirical research on their own (e.g., for writing their master thesis). 

The lecture part will introduce primary commands with practical examples. The tutorial part will focus on the coding exercises employing datasets from the existing empirical papers on the political economy and development economics. Both parts of the course require diligent attendance and will be followed by the exam. 

 

 Requirements


The course is restricted to 16 participants. The main requirement is a good knowledge of econometrics. If you are interested in participating, please send an e-mail to nikita.zakharov@vwl.uni-freiburg.de. Please attach your transcript or records so that we can see which econometrics courses you have taken so far. The deadline for application is October 1. Later enrolment is possible as long as places are available.

You do not need a STATA-license to participate as you will have access to STATA through the university.

 

Time and Location:


Lecture:

Monday, 02.00 – 04.00 p.m. (ct), PC-Pool 1

Tutorial:

Monday, 04.00 – 06.00 p.m. (ct), PC-Pool 1

 

 

Examination Modalities:


Credit points:

6 ECTS

Area of study:

M.Sc. Economics:

Economics & Politics

M.Sc. VWL:

 

International and Development Economics
Empirical Economics

Examination:

Take-home exam, hand-in deadline: - folgt noch -

The Political Economy of Migration - Seminar (Master, 2nd year)
Prof. Dr. Günther Schulze, Ramón Rey, M.Sc.
Sprache: Englisch

Content


Immigration has emerged as a highly contentious issue in contemporary Western politics, often sparking heated debates and polarizing public opinion. Our upcoming seminar examines this issue through the lens of economic analysis. Employing advanced econometric techniques, we will investigate the factors influencing migration patterns, explore the potential links between immigration and crime rates, analyze the motivations behind emigration decisions, and evaluate the effects of immigration on labor markets and technological innovation.

Join us as we evaluate common claims about migration using empirical evidence, offering a nuanced, data-driven perspective on one of today's most discussed topics.

 

 Requirements


As the literature is mostly empirical, the seminar requires the knowledge of econometrics to the extent taught in intermediate econometrics.

The seminar is restricted to 14 participants. If you are interested in participating, please send an e-mail at your earliest convenience to Judith Müller at sek.schulze[at]vwl.uni-freiburg.de, but by October 6th at the very latest. Please put Ramón Rey in the Cc (ramon.rey[at]vwl.uni-freiburg.de) and don’t forget to attach your transcript of records.


The topics will be presented and allocated during the first meeting.

Time and Location:


First meeting:

Tuesday, October 15, 10.00-14.00

  • Breisacher Tor, room 104

Progress report meeting:

Wednesday, November 13, 16.00-19.00 

  • Wilhelmstr. 26, room 01014

Seminar:

Friday - Sunday, January 17-19

  • The seminar might take place at a youth hostel outside of Freiburg; in that case, there will be costs of approx. 50 € per person for accommodation and food.

 

Examination Modalities:


Credit points:

4 or 6 ECTS

Area of study:

M.Sc. Economics:

Economics & Politics

M.Sc. VWL:

Empirical Economics

International and Development Economics

M.Ed. Wiwi:

Theorie und Empirie (only 4 ECTS)

Examination:

4 ECTS:   Presentation and Seminar Paper

6 ECTS:   Presentation, Seminar Paper and a brief discussion of the seminar paper of one of your fellow students.

Attendance at all meetings and active participation are required.

 

Causal Analysis in Labor Economics using R  - Lecture (Master, 2nd year)
Prof. Dr. Alexander Spermann
Sprache: Englisch

The course will be taught online (live sessions, Zoom)

Content


The updated course covers empirical labor economics, modern econometrics, and modern business analytics. The main textbooks are Taddy et al. (2023) and Huber (2023). I use R scripts for each session. Students should sign in at posit.cloud to get access to RStudio. Each session will be recorded via Zoom.

Complementary YouTube-Videos are available on my channel (https://www.youtube.com/chan-nel/UCi5oODsxMKzuMiI9PFp3CSw).

Topics covered are:

  • Regression in R
  • Causal Inference with Experiments (RCT, RDD, IV)
  • ­Causal Inference with Controls (Matching, DiD)
  • Labor Market and Education (Mincer equation)
  • Simulation-based Inference (SBI): Bootstrapping (Resampling), Shuffling
  • Introduction to Causal Machine Learning (LASSO, Random Forest)

 

 Lecture


ZOOM Live Sessions

Zoom-Link via mail to signed-in participants (Ilias)

 

Time and Location:


Lecture:

Fridays, 2.00-3.30 pm (st)

-> no sessions on November 8th and January 31st

-> double session on February 7th (2.00-5.00)

 

 

Examination Modalities:


 

Credit points:

4 ECTS

Area of study:

M.Sc. Economics:

E&P: Elective Courses

Finance: Elective Courses

ISNE: Elective Courses

M.Sc. VWL:

Empirical Economics

Labor, Human Resource Management &Organization

 

M.Sc. BWL:

Wahlpflichtbereich II:     VWL

                                      Quantitative Methoden

Examination:

Exam: - folgt noch -

Final exam: 60 minutes. The exam will take place in class, not online!

Students who wrote the exam in “Modern Econometrics Using R”, "Labor Economics Using R" or "Labor Economics and Causal Machine Learning Using R" cannot write the exam in this course.

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