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040256 KU Panel Data Econometrics (MA) (2025S)
Prüfungsimmanente Lehrveranstaltung
Labels
VOR-ORT
Details
max. 50 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- N Montag 03.03. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 05.03. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Montag 10.03. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 17.03. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 19.03. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Montag 24.03. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 26.03. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Montag 31.03. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 02.04. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Montag 07.04. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 09.04. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Montag 28.04. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 30.04. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Montag 05.05. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 07.05. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Montag 12.05. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 14.05. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Montag 19.05. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 21.05. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Montag 26.05. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 28.05. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Montag 02.06. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 04.06. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 11.06. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Montag 16.06. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 18.06. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Montag 23.06. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
- Mittwoch 25.06. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Montag 30.06. 13:15 - 14:45 Hörsaal 10 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%)
Tests are closd-book, dictionaries and non-programmable calculators are permitted.
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 tests and presentations are convened in class.
- empirical project (40%)
Tests are closd-book, dictionaries and non-programmable calculators are permitted.
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 tests 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: Mi 15.01.2025 08:45
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.