040256 UK Panel Data Econometrics (MA) (2019S)
Track in Data Analysis
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 11.02.2019 09:00 bis Mi 20.02.2019 12:00
- Anmeldung von Di 26.02.2019 09:00 bis Mi 27.02.2019 12:00
- Abmeldung bis Do 14.03.2019 23:59
Details
max. 50 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Donnerstag 07.03. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 14.03. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 21.03. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 28.03. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 04.04. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 11.04. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 02.05. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 09.05. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 16.05. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 23.05. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 06.06. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 13.06. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 27.06. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
- written test (45%)
- empirical project (55%)
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 written test. Dates for test and presentations are convened in class.
- empirical project (55%)
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 written test. Dates for test and presentations are convened in class.
Mindestanforderungen und Beurteilungsmaßstab
50% of the maximum achievable score, participation in the test
Prüfungsstoff
Models for panel data (fixed and random effects, one-way and two-way, estimation)
Tests (poolability, Hausman test, autocorrelation, heteroskedasticity)
Dynamic panels (Nickell bias, instrumental variable estimation, generalized method of moments)
Panel tests for unit root
Tests (poolability, Hausman test, autocorrelation, heteroskedasticity)
Dynamic panels (Nickell bias, instrumental variable estimation, generalized method of moments)
Panel tests for unit root
Literatur
Baltagi, B. : Econometric Analysis of Panel Data
Hsiao, C.: Analysis of Panel Data
Hsiao, C.: Analysis of Panel Data
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mo 07.09.2020 15:29
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
The implementation of econometric methods is explained using the software Stata. Slides are made accessible to participants.