Universität Wien
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040115 UE UE Introductory Econometrics (MA) (2024W)

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

Zusammenfassung

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 11.10. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Freitag 25.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 15.11. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Freitag 29.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 13.12. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 17.01. 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.

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.

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: 45 points
- Quizzes: 45 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

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).

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 11.10. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Freitag 25.10. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Freitag 15.11. 09:45 - 11:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Freitag 29.11. 09:45 - 11:15 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 13.12. 09:45 - 11:15 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
  • Freitag 17.01. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.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.

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.

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: 45 points
- Quizzes: 45 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

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).

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

  • Montag 07.10. 15:00 - 15:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 14.10. 15:00 - 15:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 21.10. 15:00 - 15:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 28.10. 15:00 - 15:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 04.11. 15:00 - 15:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 11.11. 15:00 - 15:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 18.11. 15:00 - 15:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 25.11. 15:00 - 15:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 02.12. 15:00 - 15:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 09.12. 15:00 - 15:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 16.12. 15:00 - 15:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 13.01. 15:00 - 15:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 27.01. 15:00 - 15:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

Ziele, Inhalte und Methode der Lehrveranstaltung

Application and practice of the contents of the parallel lecture (040111 KU Introductory Econometrics by Professor Zulehner) through recap sessions, quizzes and applied projects.

The first lectures (on October 3 and 6) will serve as introduction to the course and explanation of course requirements. From the second week onward, there will be weekly sessions providing summaries and intuition of the concepts taught in the main lecture. This will include working through applied exercises, but also revising theory. A few sessions will be dedicated to the introduction of the open source programming language R.

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

Art der Leistungskontrolle und erlaubte Hilfsmittel

The assessment of this course consists of two 30 min quizzes covering material from the recap sessions. Additionally, there will be two empirical take home exams in the form of applied projects. This will provide students with hands-on experience in working with R as well as the concepts learned in the main lecture. The third part of the assessment will be drawn from attendance and active participation in the recap sessions.

Mindestanforderungen und Beurteilungsmaßstab

To successfully complete the course, students must receive at least 50% of the available points. Points are divided as follows: max 45 points for the quizzes (max 22.5 points each), max 45 points for the applied projects (max 22.5 points each) and max 10 points for attendance.

The final grade is calculated as follows depending on obtained points P:
Sehr Gut (1) P ? 87.5,
Gut (2) 75 ? P < 87.5,
Befriedigend (3) 62.5 ? P < 75,
Genügend (4) 50 ? P < 62.5,
Nicht Genügend (5) P < 50.

Prüfungsstoff

The slides as well as exercises will be uploaded on Moodle. The content of these are heavily based on the material of the parallel lecture (040111 KU Introductory Econometrics by Professor Zulehner).

Literatur

-

Gruppe 4

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

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Montag 07.10. 15:45 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 14.10. 15:45 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 21.10. 15:45 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 28.10. 15:45 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 04.11. 15:45 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 11.11. 15:45 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 18.11. 15:45 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 25.11. 15:45 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 02.12. 15:45 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 09.12. 15:45 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 16.12. 15:45 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 13.01. 15:45 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 27.01. 15:45 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

Ziele, Inhalte und Methode der Lehrveranstaltung

Application and practice of the contents of the parallel lecture (040111 KU Introductory Econometrics by Professor Zulehner) through recap sessions, quizzes and applied projects.

The first lectures (on October 3 and 6) will serve as introduction to the course and explanation of course requirements. From the second week onward, there will be weekly sessions providing summaries and intuition of the concepts taught in the main lecture. This will include working through applied exercises, but also revising theory. A few sessions will be dedicated to the introduction of the open source programming language R.

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

Art der Leistungskontrolle und erlaubte Hilfsmittel

The assessment of this course consists of two 30 min quizzes covering material from the recap sessions. Additionally, there will be two empirical take home exams in the form of applied projects. This will provide students with hands-on experience in working with R as well as the concepts learned in the main lecture. The third part of the assessment will be drawn from attendance and active participation in the recap sessions.

Mindestanforderungen und Beurteilungsmaßstab

To successfully complete the course, students must receive at least 50% of the available points. Points are divided as follows: max 45 points for the quizzes (max 22.5 points each), max 45 points for the applied projects (max 22.5 points each) and max 10 points for attendance.

The final grade is calculated as follows depending on obtained points P:
Sehr Gut (1) P ? 87.5,
Gut (2) 75 ? P < 87.5,
Befriedigend (3) 62.5 ? P < 75,
Genügend (4) 50 ? P < 62.5,
Nicht Genügend (5) P < 50.

Prüfungsstoff

The slides as well as exercises will be uploaded on Moodle. The content of these are heavily based on the material of the parallel lecture (040111 KU Introductory Econometrics by Professor Zulehner).

Literatur

-

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Do 03.10.2024 16:45