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17709-01 - Lecture: Analysis of Panel Data (3 CP)

Semester spring semester 2011
Course frequency Every spring sem.
Lecturers Christian Kleiber (christian.kleiber@unibas.ch, Assessor)
Content In Econometrics 1 we mainly covered regression methods for
cross-sectional data. Analysis of panel data (roughly, data with cross
section as well as time series aspects) is a rapidly growing subfield of
econometrics and related disciplines. The course will provide an
introduction to the basic models with fixed and random effects and to
dynamic panel data models. Depending on the available time and the
interests of the audience we might also cover panel data versions of
some models of microeconometrics (binary response, counts) and/or panels
with large time dimension (unit roots etc in a panel context).
Empirical illustrations will make use of the 'plm' package for R.


Bibliography - B. Baltagi (2008). Econometric Analysis of Panel Data, 4th ed. Chichester: John Wiley.
- E.W. Frees (2004). Longitudinal and Panel Data. Cambridge: Cambridge University Press.
- C. Hsiao (2003). Analysis of Panel Data, 2nd ed. Cambridge: Cambridge University Press.
- W. Greene (2008). Econometric Analysis, 6th ed. Upper Saddle River, NJ: Prentice Hall. [Kap. 9 und 10]
- Sevestre, P. (2002). "Econométrie des données de panel. Paris: Dunod.
The course will not follow a particular textbook (most books in thisfield are Ph.D. level, more or less). Roughly, we will cover parts of Baltagi 2008, but I will supply more details.
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Admission requirements Solid working knowledge of linear regression. For WWZ students this means: BA completed, in addition 'Applied Econometrics' at the Master's level is strongly recommended. Depending on what we cover in the second half, some aspects of microeconometrics and/or time series will be relevant, and I will only briefly sketch basics there.
Course application Belegen in MOnA innerhalb der Belegfrist
Language of instruction English
Use of digital media No specific media used
Course auditors welcome

 

Interval Weekday Time Room

No dates available. Please contact the lecturer.

Modules Statistics and Computational Science Module (Master Actuarial Science)
Vertiefungsmodul Quantitative Methods (Master Business and Economics)
Assessment format end-of-semester examination
Assessment details Schriftliche Klausur. 26.05.2011, 12:15 - 14:00. Die Klausur findent im WWZ S16 statt.
Assessment registration/deregistration Registration: course registration
Repeat examination no repeat examination
Scale 1-6 0,1
Repeated registration as often as necessary
Responsible faculty Faculty of Business and Economics , studiendekanat-wwz@unibas.ch
Offered by Abteilung Quantitative Methoden

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