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Current Courses

Core Courses: Winter Term 2020/2021


  • Preliminary Math Course: T. Massing,
    Oct. 12th-16th and Oct. 19th-21st, 10:00-15:00
    RGS Econ syllabus

  • Lecture Core Microeconomics I  E. Kovac, 
    Thursdays 08:30-12:30, RGS Econ.
    Dates: 05.11., 19.11., 03.12., 17.12., 14.01., 28.01. 
  • Section Core Microeconomics I S. Ahorner, M. Müller
    Thursdays 08:30-12:30, RGS Econ.
    Dates: 12.11., 26.11., 10.12., 07.01., 21.01., 04.02. 
  • Lecture Core Econometrics I  P. Navas-Alban 
    Mondays 10:00-12:00, online
    Start: November 2nd, 2020
  • Section Core Econometrics I   S. Hetzenecker,
    Mondays 12:00-14:00, online
    Start: November 2nd, 2020

  • Lecture Core Macroeconomics I P. Jung
    Tuesdays, 9:00 - 12:00, TU Dortmund or online (via zoom)
    Start: November 3rd, 2020
  • Section Core Macroeconomics I S. Ivens
    Wednesdays, 10:00 - 12:00, online 
    Start: November 4th, 2020

Field Courses (Electives): Winter Term 2020/21

The following list is continuously updated an will be finalized by the middle of October.

Note: There is no need to register your planned elective-participation with RGS Econ. Some courses may require registration with the lecturer, however. Please check the course information given below. In any case, please notify the lecturer at the beginning of the course that you are taking the course as a doctoral student and as an RGS Elective. To credit the course with RGS Econ, please ask the lecturer to send an email to, verifying your successful completion.

  • Applied Macroeconomics (Dr. Boris Blagov)

Dates: Jan. 11th-15th, 2021; 9:30 – 11:00 and 11:15 – 12:45 (daily).
Registration: Contact boris.blagov “at” to register.


Short description

This course aims to introduce the students to an array of econometric techniques in the class of vector autoregressions (VARs) that are used in applied macroeconomic research. Specific emphasis will be placed on their practical application and common problems that arise.

Ideally, after completing the course, you should be able to (1) identify which VAR method is most suitable for a particular research question; (2) quickly test whether an idea is promising or not without spending enormous amount of time in troubleshooting problems.

  • Statistical Learning (Dr. Yannick Hoga)

UDE-Campus Essen or online, dates tba
Starting date: tba
Registration: via E-mail

Short description: The topics covered by the course include linear regression, classi cation, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering. To facilitate practical application, all methods are illustrated on real-world data in R.Behavioral Economics 

  • Behavioral Economics  (Prof. Dr. Lilia Zhurakhovska)

Tuesdays 10 a.m., online
Starting date: November, 3rd
Registration: send an e-mail to Kim Böhm ( )

Short description: Experimental Economics and Behavioral Economics have become major fields in Economics. Their methods and research output are contributing to topics in Economics and Public Policy, such as tax evasion and retirement savings. Moreover, behavioral insights are applied to improve decision-making of managers and performance of employees.
The course is subdivided into two parts: In the first part, experimental methods are introduced and the fundamentals of Experimental Economics are explained. Moreover, decision-making under certainty, risk, uncertainty and in a temporal context is analyzed. Common biases such as sunk cost fallacy are presented. In the second part, different topics including k-level reasoning, unethical behavior, reciprocity, and nudges are introduced. Seminal and current research papers are discussed to provide students with an overview of the key results. The course also offers an in-class case study. Furthermore, a presentation by Deloitte shows how to apply Behavioral Economics and debiasing techniques for Managers.

  • Theoretical Foundations in Regional and Urban Economics (Prof. Dr. Tobias Seidel)

Tuesdays 10.00-12.00, Mercator School of Management, UDE
Starting date: tba
Registration: send an email to Tobias Seidel ( )

Course description

  •  Topics in Microeconomic Theory I (Prof. Dr. Eugen Kovac)

room LB 318, Mercator School of Management, Campus Duisburg, UDE
Schedule: TBA (preliminary as a block seminar on 2 days)
Registration: Please register directly via email with eugen (dot) kovac (at) until October 15.

Short Description: We will present and discuss some important papers on a selected topic in microeconomic theory. Each participant will present one paper per semester. The papers will include some seminal papers in the relevant field as well as recent papers with significant methodological contributions. The topic this semester is: Innovation, R&D, and Patenting.

  • Empirical Seminar on Economic Policy (Prof. Dr. Kornelius Kraft)

Kick-off meeting: October 10th at 10:15 a.m.
Presentation: Block Seminar, middle of January 2021
Registration: Email to

Short description: The empirical seminar is dedicated to the understanding and practical application of empirical methods in the context of economic questions and issues. In particular, students should write an empirical term paper using econometric methods. In order to do so, extensive and representative data sources are made available, however, students also can provide own ideas, topics and data. Furthermore, the participants of the seminar are actively supported during their process of estimation and writing.
More information

  • Empirical Finance (Prof. Dr. Martin Hibbeln)

Mondays 14:00-16:00, via Zoom
Starting date: 21.12.2020 
Registration: innerhalb der UDE per moodle, oder Email an
More information

  • Financial Econometrics (Prof. Dr. Carsten Jentsch and Maxime Faymonville)

Lecture: Thursdays 14.15 – 15.45, room CDI 120, CDI Building, TU Dortmund Campus (or online)
Starting date: November 2nd 
Exercises: Every fortnight, exact times and dates tba
Registration: Email Prof. Dr. Carsten Jentsch (

Short description: Many financial market data, in particular stock return data, have certain empirically observable properties called “stylized facts” prohibiting the use of classical time series to analyse them. The course begins by introducing these facts. After a short review of classical time series models, adequate nonlinear models (in particular (G)ARCH models) are introduced. Time permitting extension to multivariate procedures and high-frequency settings will be discussed. Within the course all new methods will be discussed in terms of their theoretical properties including going through proofs where feasible. Furthermore, the students will learn to apply the methods in the software package R in the accompanying exercise session. 

More information and moodle

  • Machine Learning for Economic Data (Dr. Philipp Adämmer and M.Sc. Niklas Benner)

Lectures:  Every week starting in week of 2nd November, Thursdays, 10.15 – 11.45 (Zoom).
Exercises: Every fortnight. Times and date to be given.

Registration: Email to Dr. Philipp Adämmer ( ). You will then get access to the moodle course page.

Short description: The prediction of economic data with methods from machine learning and natural language processing have become increasingly popular in recent years. This course will present and apply methods that are used for economic forecasting in “big data environments”. The students will apply the methods in the software package R.

Prerequisites: There are no formal prerequisites. However, basic knowledge of probability, statistics and time series will be beneficial but not necessary. Familiarity with R will be necessary to be able to do the exercise sets.

  • Complexity Economics and Agent-Based Modeling (Prof. Michael Roos, Benjamin Bonakdar & Michelle Alfer)

Lecture: Thursday 14:15 – 15:45 h, via Zoom
Exercise: Wednesday 12:15 – 13:45 h, via Zoom
Starting Date: Thursday, 5.11.2020
Registration: Register for this module in FlexNow and at the chair.

More information 

  • Scientific Writing for Economists (Jun.-Prof. Dr. Jens Wrona)

Blocked course: 22.03.20201-26.03.2021 (08:00-12:00) via Zoom (Note: This course has been rescheduled)
Starting Date: 22.03.2021
Registration: Send an e-mail to jens.wrona(at)
Short description: This course provides an introduction into academic writing and targets Master and PhD Students in Economics, who plan to write their thesis or their first academic paper. Students will be familiarized with the process of conceptualizing and creating research articles and scientific presentations.

  • Empirical Research in International Economics (Jun.-Prof. Dr. Jens Wrona, Christian Kleinertz)

Thursdays 09:15 - 12:45 (12.11.-03.12.2020 & 21.01.-11.02.2021) via Zoom
Starting Date: 12.11.2020
Registration: Send an e-mail to jens.wrona(at) 
Short description: This course covers the empirical analysis of bilateral flow data (e.g. trade or migration flows) based on the "gravity model" from international economics. The course is targeted towards advanced Master students and PhD students in Economics, who want to extend their empirical "tool box" in preparation of their Master thesis or as a part of their PhD in economics. In class we will cover the theoretical derivation of the gravity model for (international) trade and migration, the theory-consistent empirical implementation of the gravity model, and how the gravity equation can be used to recover structural model parameters from trade and migration data. Once  a basic understanding of the economic theory, the empirical methods, and the available data sources has been established, students will be given the opportunity to apply their newly acquired knowledge when practically working on their own empirical project (based on a recent research article).