040256 KU Panel Data Econometrics (MA) (2023S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 13.02.2023 09:00 bis Mi 22.02.2023 12:00
- Anmeldung von Mo 27.02.2023 09:00 bis Di 28.02.2023 12:00
- Abmeldung bis Fr 17.03.2023 23:59
Details
max. 50 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Dates for tests and project presentations are convened in class
- Mittwoch 01.03. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 06.03. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 08.03. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 15.03. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 20.03. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 22.03. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 27.03. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 29.03. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 17.04. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 19.04. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 24.04. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 26.04. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 03.05. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 08.05. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 10.05. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 15.05. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 17.05. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 22.05. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 24.05. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 31.05. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 05.06. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 07.06. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 12.06. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 14.06. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 19.06. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 21.06. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 26.06. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 28.06. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
- two written tests (30% each)
- empirical project (40%)
The empirical project consists of writing a short paper, presenting own results and discussing the results of fellow students. Dropping the course without a grade is possible before the test. Passing the course requires both at least 50% of the maximum achievable points and attendance at the first written test. Dates for test and presentations are convened in class.
- empirical project (40%)
The empirical project consists of writing a short paper, presenting own results and discussing the results of fellow students. Dropping the course without a grade is possible before the test. Passing the course requires both at least 50% of the maximum achievable points and attendance at the first written test. Dates for test and presentations are convened in class.
Mindestanforderungen und Beurteilungsmaßstab
50% of the maximum achievable score, participation in the first test
Prüfungsstoff
The course comprises 2 lectures of 1.5h per week covering both theory and empirical examples. Slides are made accessible to participants. The relevant material for the tests is defined by what has been taught in the course.
Students are asked to prepare an empirical project that is related to the course contents, and to present and discuss their results in the last weeks.
In tests, participants work on their own. The empirical project can be done in groups of up to three.
Students are asked to prepare an empirical project that is related to the course contents, and to present and discuss their results in the last weeks.
In tests, participants work on their own. The empirical project can be done in groups of up to three.
Literatur
Baltagi, B. : Econometric Analysis of Panel Data
Hsiao, C.: Analysis of Panel Data
Croissant, Y., and G.Millo: Panel Data Econometrics with R
Hsiao, C.: Analysis of Panel Data
Croissant, Y., and G.Millo: Panel Data Econometrics with R
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mo 15.01.2024 14:45
The following topics are covered:
1. Models for panel data (fixed and random effects, one-way and two-way, estimation)
2. Tests (poolability, Hausman test, autocorrelation, heteroskedasticity)
3. Dynamic panels (Nickell bias, instrumental variable estimation, generalized method of moments)
4. Panel tests for unit root, cointegration in panels
The application of econometric methods is explained using the software packages Stata and/or R. Slides are made accessible to participants.