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040328 UE UE Introductory Econometrics (MA) (2025S)
Continuous assessment of course work
Labels
Summary
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 10.02.2025 09:00 to Tu 18.02.2025 12:00
- Registration is open from We 26.02.2025 09:00 to Th 27.02.2025 12:00
- Deregistration possible until Fr 14.03.2025 23:59
Registration information is available for each group.
Groups
Group 2
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- N Friday 07.03. 11:30 - 12:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 14.03. 11:30 - 12:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 21.03. 11:30 - 12:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 28.03. 11:30 - 12:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 04.04. 11:30 - 12:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 11.04. 11:30 - 12:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 02.05. 11:30 - 12:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 09.05. 11:30 - 12:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 16.05. 11:30 - 12:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 23.05. 11:30 - 12:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 30.05. 11:30 - 12:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 06.06. 11:30 - 12:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 13.06. 11:30 - 12:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 20.06. 11:30 - 12:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 27.06. 11:30 - 12:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Assessment and permitted materials
The course assessment will involve group problem sets, where you will collaboratively solve analytical exercises and implement empirical solutions in R. In addition, there will be short quizzes to be solved individually during class. Attendance and active participation will also contribute to your final grade.
Group 3
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- N Friday 07.03. 12:15 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 14.03. 12:15 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 21.03. 12:15 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 28.03. 12:15 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 04.04. 12:15 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 11.04. 12:15 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 02.05. 12:15 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 09.05. 12:15 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 16.05. 12:15 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 23.05. 12:15 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 30.05. 12:15 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 06.06. 12:15 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 13.06. 12:15 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 20.06. 12:15 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 27.06. 12:15 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Assessment and permitted materials
The course assessment will involve group problem sets, where you will collaboratively solve analytical exercises and implement empirical solutions in R. In addition, there will be short quizzes to be solved individually during class. Attendance and active participation will also contribute to your final grade.
Information
Aims, contents and method of the course
In this course unit, we will apply and practice the concepts taught in the 040327 KU Introductory Econometrics (MA). Our primary focus will be on practical application through empirical exercises using the R software (if you are not familiar with the software, please make sure to visit the R tutorial). Additionally, we will review key derivations and proofs on the board to improve your understanding of the material. The course will be held on-site, there is no online option.
Minimum requirements and assessment criteria
To successfully complete the course, students must earn at least 50% of the total available points. The grading components are as follows:
- Problem Sets: 45 points
- Quizzes: 45 points
- Attendance and Participation: 10 pointsThere will be several opportunities to collect bonus points through the problem sets.-----The final grade will be calculated based on the total points (P) earned:Sehr Gut (1): P > 90
Gut (2): 75 < P ≤ 90
Befriedigend (3): 62.5 < P ≤ 75
Genügend (4): 50 < P ≤ 62.5
Nicht Genügend (5): P < 50
- Problem Sets: 45 points
- Quizzes: 45 points
- Attendance and Participation: 10 pointsThere will be several opportunities to collect bonus points through the problem sets.-----The final grade will be calculated based on the total points (P) earned:Sehr Gut (1): P > 90
Gut (2): 75 < P ≤ 90
Befriedigend (3): 62.5 < P ≤ 75
Genügend (4): 50 < P ≤ 62.5
Nicht Genügend (5): P < 50
Examination topics
All material covered in this course is relevant for the assessments. Course materials, including solutions to problem sets after submission, will be available on Moodle. The content closely follows the material from the parallel lecture (040327 KU Introductory Econometrics).
Reading list
The following literature was used to prepare the course materials:
Angrist, J. D. (2014). Mastering 'Metrics: The path from cause to effect. Princeton University Press.
Hanck, C., Arnold, M., Gerber, A., & Schmelzer, M. (2021). Introduction to Econometrics with R. Universität Duisburg-Essen.
Stock, J. H., & Watson, M. W. (2020). Introduction to econometrics. Pearson.
Verbeek, M. (2017). A guide to modern econometrics. John Wiley & Sons.
Wooldridge, J. M. (1996). Introductory Econometrics: A Modern Approach 3rd ed.
Angrist, J. D. (2014). Mastering 'Metrics: The path from cause to effect. Princeton University Press.
Hanck, C., Arnold, M., Gerber, A., & Schmelzer, M. (2021). Introduction to Econometrics with R. Universität Duisburg-Essen.
Stock, J. H., & Watson, M. W. (2020). Introduction to econometrics. Pearson.
Verbeek, M. (2017). A guide to modern econometrics. John Wiley & Sons.
Wooldridge, J. M. (1996). Introductory Econometrics: A Modern Approach 3rd ed.
Association in the course directory
Last modified: Th 23.01.2025 11:05