Universität Wien

040115 UE UE Introductory Econometrics (MA) (2025W)

2.00 ECTS (1.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

Zusammenfassung

1 Weinhappl , Moodle
2 Weinhappl , Moodle
3 Weinhappl , Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
An/Abmeldeinformationen sind bei der jeweiligen Gruppe verfügbar.

Gruppen

Gruppe 1

max. 50 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Freitag 10.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 17.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 24.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 31.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 07.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 14.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 21.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 05.12. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 19.12. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 09.01. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 23.01. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 30.01. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock

Ziele, Inhalte und Methode der Lehrveranstaltung

In this course unit, we will apply and practice the concepts taught in the 040111 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.

Mindestanforderungen und Beurteilungsmaßstab

To successfully complete the course, students must earn at least 50% of the total available points. The grading components are as follows:
- Problem Sets: 40 points
- Quizzes: 50 points
- Attendance and Participation: 10 points

There 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

Literatur

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.

Gruppe 2

max. 50 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Freitag 10.10. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 24.10. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 07.11. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 21.11. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 05.12. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 19.12. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 09.01. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 16.01. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 23.01. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 30.01. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock

Ziele, Inhalte und Methode der Lehrveranstaltung

In this course unit, we will apply and practice the concepts taught in the 040111 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.

Mindestanforderungen und Beurteilungsmaßstab

To successfully complete the course, students must earn at least 50% of the total available points. The grading components are as follows:
- Problem Sets: 40 points
- Quizzes: 50 points
- Attendance and Participation: 10 points

There 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

Literatur

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.

Gruppe 3

max. 50 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Freitag 10.10. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Freitag 17.10. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Freitag 24.10. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Freitag 31.10. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Freitag 07.11. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Freitag 14.11. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Freitag 21.11. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß

Ziele, Inhalte und Methode der Lehrveranstaltung

In this course unit, we will apply and practice the concepts taught in the 040111 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.

The course will be held in class only. There is no online option!

Mindestanforderungen und Beurteilungsmaßstab

To successfully complete the course, students must earn at least 50% of the total available points. The grading components are as follows:
- Problem Sets: 40 points
- Quizzes: 50 points
- Attendance and Participation: 10 points

There will be several opportunities to collect bonus points through the problem sets.

Literatur

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.

Information

Art der Leistungskontrolle und erlaubte Hilfsmittel

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.

Prüfungsstoff

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 (040111 KU Introductory Econometrics).

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Do 05.03.2026 13:46