Universität Wien
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390026 UK PhD-VGSE: Empirical Macroeconomics: Models and Methods (2013S)

Prüfungsimmanente Lehrveranstaltung

Lecturer: Thomas Lubik
Please contact Maarten Janssen (maarten.janssen@univie.ac.at) to register for this course. To attend this course you should have the required background knowledge, be ambitious in progressing with your research, and participate actively in class.

Details

max. 24 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Montag 13.05. 10:00 - 12:30 (Seminarraum 2, Maria-Theresien-Str.3/Mezzanin, 1090 Wien)
  • Mittwoch 15.05. 15:30 - 18:00 (Seminarraum 2, Maria-Theresien-Str.3/Mezzanin, 1090 Wien)
  • Donnerstag 16.05. 10:00 - 12:45 (Seminarraum 1, Maria-Theresien-Str.3/Parterre, 1090 Wien)
  • Freitag 17.05. 10:00 - 12:45 (Seminarraum 2, Maria-Theresien-Str.3/Mezzanin, 1090 Wien)
  • Dienstag 21.05. 10:00 - 12:45 (Seminarraum 2, Maria-Theresien-Str.3/Mezzanin, 1090 Wien)
  • Mittwoch 22.05. 15:30 - 18:00 (Seminarraum 2, Maria-Theresien-Str.3/Mezzanin, 1090 Wien)
  • Donnerstag 23.05. 10:00 - 12:45 (Seminarraum 1, Maria-Theresien-Str.3/Parterre, 1090 Wien)
  • Freitag 24.05. 10:00 - 12:45 (Seminarraum 2, Maria-Theresien-Str.3/Mezzanin, 1090 Wien)

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This course covers various topics in empirical macroeconomics. It will be a mixture of economic theory and applied econometrics, with an emphasis on structural estimation. The applied portion of the course requires the use of software such as Gauss, Matlab, or Rats.

Syllabus
1. A Refresher of Linear Rational Expectations Models
a) Forward Solution
b) System methods: Gensys
2. Two Useful Models
a) The Basic Search and Matching Model of the Labor Market
b) The Standard New Keynesian Model
c) A Neoclassical Synthesis Model of Inflation and Unemployment Dynamics
3. Vector Autoregressive Models
a) Representation and Estimation
b) Impulse Response Functions, Variance Decompositions and Forecasting
c) Identification and Structural VARs
d) Examples and Applications
4. Generalized Methods of Moments (GMM)
a) Asymptotic Theory
b) Weak Identification and Small Sample Issues
c) Examples and Applications
5. State Space Models
a) State Space Representation of a Time Series Model
b) The Kalman Filter
c) Maximum Likelihood Estimation
6. Introduction to Bayesian Econometrics
a) The Likelihood Principle
b) Priors
c) Bayesian VARs
d) Model Comparison
e) Markov-Chain Monte-Carlo Methods (MCMC)
7. Bayesian Estimation of DSGE Models
a) Priors and Model Specification
b) Posterior Evaluation
c) Application and Examples
8. A Smorgasbord of Interesting Research Topics
a) The Great Moderation Debate
b) Monetary Policy in DSGE Models
c) Inventories
d) Labor Market Dynamics
e) International Business Cycles

Art der Leistungskontrolle und erlaubte Hilfsmittel

The course grade will be determined by:
1. (20%) several problem sets which I will hand out at irregular intervals throughout the semester.
2. (80%) a final take-home exam.

Mindestanforderungen und Beurteilungsmaßstab

Prüfungsstoff

Literatur

There is no required textbook for the course. The textbooks by Fabio Canova and David DeJong & Chetan Dave cover most of the material in the class. Hamilton's Time Series Analysis text is a useful general reference for anyone interested in time series. Other recommended texts and readings are listed below.
An, Sungbae, and Frank Schorfheide (2007): 'Bayesian Analysis of DSGE Models'. Econometric Reviews, 26(2-4), 113-172.
Canova, Fabio (2007): Methods for Applied Macroeconomic Research. Princeton University Press. Princeton, NJ.
DeJong, David and Chetan Dave (2007): Structural Macroeconometrics. Princeton University Press. Princeton, NJ.
Del Negro, Marco and Frank Schorfheide (2010): 'Bayesian Macroeconometrics'. Forthcoming, Handbook of Bayesian Econometrics.
Hamilton, James D. (1994): Time Series Analysis. Princeton University Press. Princeton, NJ.
Harvey, Andrew C. (1993): Time Series Models. The MIT Press. Cambridge, MA.
Sargent, Thomas J. (1987): Macroeconomic Theory. Second Edition. Academic Press, Inc. San Diego, CA.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:46