Current Core & Elective Courses
RGS Econ offers dedicated PhD-level courses in the core of its structured PhD program as well as a broad range of elective field courses. Our students can augment these offerings by participating in numerous workshops, Mini-Lectures, Soft-Skills seminars and other Activities and Events organized by RGS Econ.
Core Courses: Winter 2024/2025
Preliminary Math Course (Pavel Kocourek)
10:00-15:00, UDE Campus Duisburg
Dates: September 23-24 and 26-27; September 30-October 1 and October 3-4
Core Microeconomics I
Lecture (Eugen Kovac): Thursdays 9:00-13:00 @ UDE Campus Duisburg, Start: 10. October
Section (tba): Thursdays: 14:00-16:00 @ UDE Campus Duisburg Start: 10.October
Core Macroeconomics I
Lecture and Section (Philip Jung and Sören Ivens): Tuesdays 8:30 – 14:00 @ TU Dortmund campus, Start: tba
Core Econometrics I
Lecture (Jan Prüser): Mondays 10:00-12:00 @UDE Campus Essen, Start: 7. October,
Section (Ignacio Moreira): Mondays 12:00-14:00 @UDE Campus Essen
Field Courses (Electives): Winter 2024/2025
Dates: 14.10.24, 21.10.24, 28.10.24, 04.11.24 & 11.11.24
Location: online
Short description: The course provides a comprehensive introduction to the forecasting of (economic) time series, focusing on the theoretical background of applied forecasting. To this end, we study in detail so-called predictive regressions, including special topics like mixed-frequency data, regressor persistence, high-dimensional predictors, but also more advanced topics like forecast intervals and long-horizon forecasts. The final part of the course covers forecast evaluation.
There will be a moodle room in due time.
Dates: Tuesdays 16-18
Location: CDI 120, TU Dortmund, Campus Nord
Short description: The course provides a comprehensive introduction to the forecasting of (economic) time series, focusing on the theoretical background of applied forecasting. To this end, we study in detail so-called predictive regressions, including special topics like mixed-frequency data, regressor persistence, high-dimensional predictors, but also more advanced topics like forecast intervals and long-horizon forecasts. The final part of the course covers forecast evaluation.
There will be a moodle room in due time.
Dates: TBA (in form of a block seminar on 2-3 days)
Location: room LB 318, Mercator School of Management, Campus Duisburg, UDE
Registration: Please register directly via email with eugen.kovac@uni-due.de until October 1, 2024
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 the participants' research interests.
Dates: Tuesdays 8:30-12:00, Start: 08.10.2024
Location: SRG1-3.032 TU Dortmund
Short description: The first objective of this course is to acquaint students with core topics in labor economics and with the important empirical methods for microeconomic analysis. A second goal is to inform students' understanding of some salient labor market institutions and public policies affecting labor markets.
The course will teach how to combine institutional knowledge, economic models, and real-world data to gain sound insight into important labor market issues. Topics include supply- and demand for labor, wage determination, firms' role in the labor market, human capital, technological change, market power, and inequality.
Dates: thursdays, 8:30 am - 2 pm
Location: room 120, CDI building, TU Dortmund Campus Nord
Registration: Please register directly via e-mail with arsova@statistik.tu-dortmund.de
Short Description: This course is about the econometric analysis of non-stationary data. Aim: Prepare the students for both theoretical and empirical research in econometrics, macroeconomics and finance by laying sound theoretical foundations
Core courses summer 2024
Lecture and Section Core Microeconomics II L. Buchheim & M. Vögele
Mondays 08:30-12:00, TU Dortmund, Mathetower, room M127
Start: April 1st, 2024
Lecture & Section Core Macroeconomics II L. Linnemann
Mondays, 14:00 - 18:00, TU Dortmund, Mathetower, room M127
Start: April 1st, 2024
Lecture Core Econometrics II M. Paul
Lecture: Tuesesdays: 09:15.-12:15 and 13:00-15:00
Start: 15.04, for ca. 5 weeks @ RGS Econ.
Section Core Econometrics II N. Stahl
@ RGS Econ
June 11 - July 16, 10:00 - 12:00 and 13:00 - 15:00
Field Courses (Electives): Summer 2024
(Astrid Krenz, Leon Lohbeck, Markus Holtze, RUB)
Lecture: Starting Date: 08.04.2024
Section: 10:15-11:45, HGD 30, starting on 30.4.2024
Dates Lecture:
Mo (8.4.2024), 15:15 bis 17:45, HNC 20
Do (11.4.2024), 14:15 bis 16:45, HNC 10
Fr (12.4.2024), 14:15 bis 16:45, HNC 20
Mo (15.4.2024), 15:15 bis 17:45, HNC 20
Do (18.4.2024), 14:15 bis 16:45, HZO 30
Fr (19.4.2024), 14:15 bis 16:45, HGD 30
Mo (22.4.2024), 15:15 bis 17:45, HNC 20
Do (25.4.2024), 14:15 bis 16:45, HZO 30
Fr (26.4.2024), 14:15 bis 16:45, HGD 30
Registration: If you would like to take part in the course, please send an email to astrid.krenz(at)ruhr-uni-bochum.de (the only thing you will have to do for registering for the course is to mention your name, your university affiliation, the semester/year of PhD study, and your research fields/interests)
Moodle: Registration in Moodle is recommended in order to receive messages and further information from there
Syllabus: a course syllabus can be found in Moodle
Dates: Lectures: Twice a week starting week of 8th April 2024. Tuesday, 14.15 - 15.45 and Wednesday 12.15 - 13.45; Exercises: Every week starting week of 22th April 2024. Wednesday, 08.30 - 10.00
Location: Lectures: room CDI 120, CDI Building, TU Dortmund Campus; Exercises: room CDI 120, CDI Building, TU Dortmund Campus
Registration: Email Maxime Faymonville (faymonville@statistik.tu-dortmund.de). You will then get access to the Moodle course page.
Course description: This lecture discusses the origins of bootstrap methods pioneered by Bradley Efron in his seminal paper Efron (1979, Annals of Statistics). Besides its predecessor Jackknife, several variants of bootstrap resampling suitable for different 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.
Dates: Wednesdays from 10:15 - 11:45 (Starting date: 10th of April); Tutorial: Wednesdays from 12:15 - 13:45 (Starting date: 10th of April)
Location: R12 R05 A52, UDE Campus Essen; Tutorial: R11 T09 C83
Registration: None required
Dates: 3 block sessions, kick-off meeting (in person) 23.05., followed by hybrid lectures on 24.05. and 06.06.; Tutorial: There are a total of 5-6 tutorials scheduled, each on Fridays from 8.30-12 a.m., starting on 07.06.
Location: tba, Tutorial: R12 R06 A52 UDE Campus Essen
Registration: We will meet on 02.05. for a brief pre-meeting via Zoom.
Course description: Statistical learning is a field that teaches students how to analyze and interpret data by applying statistical methods and machine learning algorithms to uncover patterns, make predictions, and gain insights from data. The syllabus includes: statistical and machine learning methods, in particular: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Introduction to causal inference; Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical).
Examination format: Report and Presentation.
Further information, current times and places, and Zoom links can be found on our homepage.
Core Courses: Winter 2023/2024
Core Microeconomics I
Lecture (Eugen Kovac): Thursdays: 08:30-12:30 @RGS Econ (concentrated in first half of semester, exact dates tba) Start: 19. October, End: 7.12 (expected)
Section: (Solveig Ahorner and Marvin Finkemeier): Thursdays:14:00-16:00 @RGS Econ Start: 26. October (full semester)
Core Macroeconomics I
Lecture and Section (P. Jung and Sören Ivens) Tuesdays8:30 – 14:00 Start: 17. October TU Dortmund, Mathetower, M134
Econometrics I
Lecture (Jan Prüser); Mondays10:00-12:00 Start: 16. October Campus Essen R11 T04 C54
Section (tba); Mondays12:00-14:00 Start: 16. October Campus Essen R11 T04 C54
Field Courses (Electives): Winter 2023/2024
Time:
Mo (13.11.2023), 15:15 bis 17:45, HZO 30
Do (16.11.2023), 14:15 bis 16:45, HZO 20
Fr (17.11.2023), 14:15 bis 16:45, HGD 30
Mo (20.11.2023), 15:15 bis 17:45, HZO 30
Do (23.11.2023), 14:15 bis 16:45, HZO 20
Fr (24.11.2023), 14:15 bis 16:45, HGD 30
Mo (27.11.2023), 15:15 bis 17:45, HZO 30
Do (30.11.2023), 14:15 bis 16:45, HZO 20
Fr (01.12.2023), 14:15 bis 16:45, HGD 30
Place: HNB, HGD 30, HZO 20
Starting Date: 13.11.2023
Registration information: If you would like to take part in the course,
please send an email to astrid.krenz@ruhr-uni-bochum.de, and register
for the course in Moodle
Course link
Every Monday 2-4 p.m. (s.t.) in Room LB 107 at the Campus Duisburg. Starting on December 11, 2023 and ending on January 29, 2024. Session on 15.01. is postponed to 22.01. from 4-6 p.m.
Lecture Thursdays and Fridays 10-14h in R12 R06 A93, during the first weeks of the semester
Section: tba
Tuesdays 8:30-12:00; SRG1-3.032 TU Dortmund ; Start: 10 October 2023.
The first objective of this course is to acquaint students with core topics in labor economics and with the important empirical methods for microeconomic analysis. A second goal is to inform students' understanding of some salient labor market institutions and public policies affecting labor markets.
The course will teach how to combine institutional knowledge, economic models, and real-world data to gain sound insight into important labor market issues. Topics include supply- and demand for labor, wage determination, firms' role in the labor market, human capital, technological change, market power, and inequality.
Time: Thursdays, 12:15-13:45
Starting Date: 12 Oct 2023
Place: TU Dortmund, Mathetower, room M127
Registration: Please send an email to marcel.voegele(at)tu-dortmund.de (binding registration after the first session)
Short description: See https://mikro.wiwi.tu-dortmund.de/lehre/wintersemester/seminar-microeconomics-of-regional-economics/
Start: 10 Oct.:
The course consists of a lecture and a tutorial that take place weekly.
- Lecture: Tuesday 08:15 - 9:45 in R12 R06 A84 the main Campus Essen (Prof. Dr. F. Ziel)
- Tutorial in python*: (P. Ghelasi) in R12 R06 A84 .
- Tutorial in R: Monday 08:15 - 09:45 (P. Ghelasi) in V15R - V15 R02 G84
*Due to availability restrictions we will offer only two introductory python tutorials this semester (taking place on Thursday 12 Oct and 19 Oct from 8:15 - 9:45). However, we will provide all Python materials from last year.
https://www.uee.wiwi.uni-due.de/studium-lehre/wintersemester-23-24/econometrics-of-electricity-markets-python-tutorial-14267/ and https://moodle.uni-due.de/course/view.php?id=41816
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(at)rgs-econ.de, verifying your successful completion.
