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Winter term 2023/24

The Economics of Terror (Lecture, Master)
Prof. Dr. Günther G. Schulze (Tutorials by TBA)
Language: English

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

 

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

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 Friday, October 13, a 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 – 03.30 p.m., PC-Pool 3

Tutorial:

Monday, 04.00 – 05.30 p.m., PC-Pool 3

 

Note: on October 23rd and 30th and January 22nd and 29th, the course takes place in PC-Pool 1

 

Examination Modalities:


Credit points:

6

Area of study:

M.Sc. Economics:

Economics & Politics

M.Sc. VWL:

 

International and Development Economics
Empirical Economics

Examination:

Take-home exam, hand-in deadline: TBA

 

The Economics of Crime and Punishment - Seminar (Master, 2nd year)
Prof. Dr. Günther Schulze, Ramón Rey, M.Sc.
Language: English

Content


Explore the criminal underworld through the lens of economic science in our upcoming seminar. Unlike traditional approaches, we economists view crime as utility-maximizing decisions driven by incentives, which in turn allows us to provide valuable insights into how public policies can influence criminal activities. By drawing on empirical methods, we will reshape our understanding of criminal behavior and discuss better policy interventions to deal with gang bosses, kingpins, godfathers and the like.

The seminar will cover a wide, often controversial, range of topics: How do socio-economic characteristics like poverty, unemployment, or education drive criminal engagement? Is the death penalty an effective deterrence? What is the difference between white-collar and drug-related crimes? Do prostitution and abortion legalizations reduce crime?

 

 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 Ramón Rey at ramon.rey[at]vwl.uni-freiburg.de by October 15th, attaching your transcript of records. Topics will be allocated during the first meeting. 

Time and Location:


First meeting:

Thursday, October 19th, 14.15-17.45 

  • Breisacher Tor R-101

Progress report meeting:

Thursday, November 16th, 16.15-19.45

  • R02-012

Seminar:

Friday - Sunday, January 19th-21st

  • Friday: HS 1023
  • Saturday-Sunday: R00 016

 

Examination Modalities:


Credit points:

4 or 6

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
Language: English

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

Content


The course covers empirical labor economics and modern econometrics. Students should sign in at posit.cloud to get access to RStudio. I use Mentimeter as a Classroom Response System.

Topics covered are:

  • ­Modern approach to Econometrics
  • Fundamental evaluation problem
  • ­Potential outcome approach
  • Methods: RCT, RDD, BAE, DiD, Matching, IV
  • Simulation-based Inference (SBI): Bootstrapping (Resampling), Shuffling
  • Introduction to Causal Machine Learning (LASSO, Random Forest)
  • Labor Market and Education (Mincer equation)

 

 Lecture


ZOOM Live Sessions

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

 

Time and Location:


Lecture:

Fridays, 2 pm (Live Session)

             27 October 2023, 2-5:15 pm

             10 November 2023, 2-5:15 pm

             17 November 2023, 2-5:15 pm

             1 December 2023, 2-5:15 pm

             15 December 2023, 2-5:15 pm

             12 January 2023, 2-5:15 pm

             19 January 2023, 2-5:15 pm

             02 February 2023, 2-5:15 pm

 

 

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:

Friday, 23.02 14.00-16.00 HS1010

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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