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Courses

Current Courses

Core Courses: Winter Term 2021/2022

 

  • Preliminary Math Course: T. Massing,
    Dates: 01.10., 04.10., 08.10., 11.-15.10.                                                          10:00-15:00, RGS Econ, syllabus

  • Lecture Core Microeconomics I  E. Kovac, 
    Fridays 09:30-13:30, RGS Econ.
    Dates: 22.10., 29.10., 12.11., 26.11., 10.12., 14.01., 28.01.  
  • Section Core Microeconomics I S. Ahorner und M.Finkemeier
    Thursdays 10:00-12:00, RGS Econ.
    Start: October 28th, 2021
     
  • Lecture Core Econometrics I C. Hanck
    Mondays 10:00-12:00, UDE Campus Essen, SA 215
    Start: October 18th, 2021
  • Section Core Econometrics I T. Reinschlüssel
    Mondays 12:00-14:00, UDE Campus Essen, SA 215
    Start: October 18th, 2021

  • Lecture Core Macroeconomics I P. Jung
    Tuesdays, 9:00 - 12:00, TU Dortmund, Mathetower, M134; Start:  Tuesday, October 19th.

  • Section Core Macroeconomics I S. Ivens
    Tuesdays, 13:00 - 15:00, TU Dortmund, Mathetower, M134; Start:  Tuesday, October 19th.

Field Courses (Electives): Winter Term 2021/22

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

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 helge.braun@rgs-econ.de, verifying your successful completion.

  • Empirical Finance (Martin Hibbeln)

Location: online, partly videos (asynchronous), partly Zoom (synchronous)
Dates: 13.12.2021-04.02.2022, Mondays, 14-16h (expected) 
Registration: Within the UDE: via Moodle; otherwise: Email to

Short description:This course contains the theoretical background of current financial issues, the application of econometric methods to finance-related research questions, as well as the discussion of current empirical publications dealing with finance-related topics based on an inverted classroom approach.

More information

  • Behavioral Economics (Lilia Zhurakhovska)

Location: LE 105, UDE, Campus Duisburg 
Dates: Wednesdays 10:00 a.m. 

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.

  • Bootstrap Methods  (Carsten Jentsch)

Location: room CDI 120, CDI Building, TU Dortmund Campus
Dates: Lecture: twice a week starting week of 11th October: Tuesdays 14:15-15:45 and Thursdays 10:15-11:45; Exercies: tba
Registration: Email to faymonville@statistik.tu-dortmund.de

Short description: This lecture discusses the origins of bootstrap methods pioneered by Bradley Efron in his seminal paper Efron (19th79, Annals of Statistics). Besides its predecessor Jackknife, several variants of bootstrap resampling suitable for di erent data scenarios will be discussed. The main focus will be on the bootstrap methodology itself and on (asymptotic) properties of bootstrap methods. Their derivation requires good (mathematical) knowledge of probability theory and asymptotic theory. Students will gain insights why, how and when the bootstrap as a universal and powerful tool can be used to conduct (valid) statistical inference.

More information

  • Theoretical Foundations in Regional and Urban Economics (Tobias Seidel, Philip Jung)

Tuesdays 10:15, UDE Campus Essen, room: tba
Starting date: October 19th
Registration: send an email to Tobias Seidel (   )

  • Topics in Microeconomic Theory II (Eugen Kovac)

Location: room LB 318, Mercator School of Management, Campus Duisburg, UDE
Dates: TBA (preliminary as a block seminar on 2-3 days)
Registration: directly via email with eugen (dot) kovac (at) uni-due.de until October 1

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 be some seminal papers in the relevant field, papers that make significant methodological contributions, or recent important papers. The topic this semester will be determined by participants' interests.

Core Courses: Summer Term 2021

 

  • Lecture and Section Core Microeconomics II  E. Amann and M. Müller
    Fridays 10:00-14:00, online
    Start: April 23th, 2021

  • Lecture Core Econometrics II  M. Paul 
    Thursdays 12:00-14:00, online
    Start: April 15th, 2021

  • Section Core Econometrics II   F. Dehos
    Tuesdays, 16:30 - 18:00, online 
    Start: April 27th

  • Core Macroeconomics II Lecture & Section  L. Linnemann
    Mondays, 14:00 - 18:00, online
    Start: April 12th, 2021

Field Courses (Electives): Summer Term 2021

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

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 helge.braun@rgs-econ.de, verifying your successful completion.

  • Advances in Public Economics and Political Economy (Prof. Galina Zudenkova)

Thursdays, 10:00-14:00online via Zoom
Starting DateApril 15th

Registration: Please register directly via email with Galina Zudenkova: galina.zudenkova@tu-dortmund.de

Short description: This graduate course brings together the latest research ideas and topics in public economics and political economy. The focus is primarily on theoretical work. The course consists of two parts. The first part covers topics in public economics such as the theory of public goods and the theory of optimal taxation. The second part addresses political economy issues such as political behavior (of voters, candidates, legislatures, interest groups, political parties, media) and political distortions (inefficient redistribution, career concerns, dynamic problems).

More information (p. 95)

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

Location: room LB 318, Mercator School of Management, Campus Duisburg, University of Duisburg-Essen
Dates: tba (preliminary as a block seminar on 2 days)
RegistrationPlease register directly via email with eugen {dot} kovac {at} uni-due.de until March 20th

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.

  • Introduction to Programming with Julia 2021 (Dr. S. T. Hossain)

Location: tba
Dates: March 29th to April 2nd (tentative)
RegistrationPlease email us at info@rgs-econ.de until March 20th to register.

(For those with access to TU Dortmund's Moodle: Moodle link.)

  • Lecture & Seminar Bayesian Econometrics (Dr. Jan Prüser)

Lecture:
Wednesdays, 2-6 pm, TU Dortmund, CDI 120
Starting Date: April 14th
Registration: Please register via email with Jan Prüser: prueser@statistik.tu-dortmund.de

More information

Seminar: 
Dates: tba, second half of the semester
Location: room: tba, TU Dortmund
Registration:  Please register via email with Jan Prüser: prueser@statistik.tu-dortmund.de

  • Structural Change and Global Value Chains (Prof. Dr. Marianne Saam)

Recorded Lecture, Tutorial every Tuesday 10:15-11:45, online via Zoom
Starting DateApril 12th

Short description: In the process of economic growth, the structure of an economy changes drastically. Usually, manufacturing first becomes more important than agriculture and eventually both activities are taken over by services. At the same time, the relation between industries, or, in other words, the value chains of production change. This evolution has both a domestic and an international dimension. Is value creation in high-tech products moving more and more to emerging economies? Will manufacturing move back to advanced countries with progress in automation? At which stages of the product value chains do productivity increases occur? These and other policy-relevant questions can be discussed based on recent articles from scientific journals. The lecture introduces to main recent macroeconomic models and empirical approaches to understand the mechanisms governing structural change and value chains. In the tutorial exercises will serve to practice the use of theoretical approaches and to support own literature study.

  • Fortgeschrittene Ökonometrie (Statistical Learning) (Dr. Thomas Deckers)

Lecture:  Wednesday, April 28, Thursday, April 29 and Friday, April 30, from 08:30 to 16:00, online via Zoom
Section: Mondays, 12:00 to 16:00, starting Date: April 26, online via Zoom
Dates and locations are subject to future developments of the COVID-19 pandemic. Please check the Chair’s homepage ( https://www.oek.wiwi.uni-due.de/ ) for updates.

Registration: Please contact Martin Arnold ( ) for access to the Moodle course. Moodle link

  • Seminar in Behavioral Economics (Prof. Dr. Lilia Zhurakhovska)

Dates:  April, 28th, 2:00 p.m. to 4:00 p.m.; May, 19th, after appointment; June, 23rd, after appointment; and July, 14th,2:00 p.m. to 4:00 p.m.; online

Registration:Please register via email with Mr. Kim Böhm (kim.boehm@uni-due.de) before April, 21st, 2021 (including your full name, student ID, and a current overview of your grades).

More information (course description and information on moodle access)

Short description: This seminar is meant to introduce students to the method of Experimental Economics. After participating successfully students can understand and analyze standard experiments and apply fundamental concepts to adapt or create an experimental design answering a modified or newly created (research) question.

  • Advanced Labour Economics (Jens Wrona )

Dates: 17th of May to the 21st of May 2021 (08:30 - 10:00 and 10:15 - 11:45) online

Short description: The course will cover the most important theoretical models in labour economics based on the textbook "Labour Economics" by Pierre Cahuc, Stéphane Carcillo and André Zylberberand on the original research articles. The course will consist of 10 lectures and 3 assignments. If required an online-exam will be offered.

  • Introduction to Microeconometrics (Prof. Dr. Thomas Bauer)

Kick-Off Meeting: April 13, 9:00 - 10:00 am, 

Lectures and tutorials will be provided as recordings. Additional information is provided on the homepage & via Moodle.

Registration:: Students must register in the Moodle course until April 13th. Please sent an e-mail to if you need a certificate for this course or if you are not able to register via Moodle. 

  • Econometric Evaluation of Economic Policies (Prof. Dr. Thomas Bauer) 

Dates:  Wednesdays, 08:00–10:00, online via Zoom

Starting Date: 14.04.2021, additional information is provided on the homepage & via Moodle.

Registration:Students must register in the Moodle course until April 5th. After this date there will be random assignment if the maximum number of students is exceeded. In addition, please sent an e-mail to if you need a certificate for this course or if you are not able to register via Moodle. 

  • Energy Forecasting Competition  (Prof. Dr. Florian Ziel

Dates:  Lecture (+ integrated tutorial): Tuesdays 10:00 bis 14:00

  • Econometrics of Electricty Markets.  (Prof. Dr. Florian Ziel) 

Dates:  Lecture: Mondays 08:00 - 10:00
Tutorial in R*: Thursdays 12:00 - 14:00 
Tutorial in python*: Fridays 12:00 - 14:00
*It is recommend to choose (at least) one of them.