Universität Wien

390054 UK PhD-VGSE: Econometrics of Nonstationary Time Series (2011S)

Prüfungsimmanente Lehrveranstaltung

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 07.03. 13:30 - 17:00 (Seminarraum 2, Maria-Theresien-Str.3/Mezzanin, 1090 Wien)
  • Montag 28.03. 13:30 - 17:00 (Seminarraum 2 Hohenstaufengasse 9 1.Stock)
  • Montag 11.04. 13:30 - 17:00 (Seminarraum 2 Hohenstaufengasse 9 1.Stock)
  • Montag 02.05. 13:30 - 17:00 (Seminarraum 2, Maria-Theresien-Str.3/Mezzanin, 1090 Wien)
  • Montag 16.05. 13:30 - 17:00 (Seminarraum 2, Maria-Theresien-Str.3/Mezzanin, 1090 Wien)
  • Montag 06.06. 13:30 - 17:00 (Seminarraum 2 Hohenstaufengasse 9 1.Stock)
  • Montag 27.06. 13:30 - 17:00 (Seminarraum 2, Maria-Theresien-Str.3/Mezzanin, 1090 Wien)

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Many master's programs contain by now some discussion of unit root and cointegration analysis. In typical MA/MSc courses, however, such courses do not contain a detailed discussion of the underlying mathematical and statistical concepts. In this course unit root and cointegration analysis will be presented in a formally concise way. The course will start with unit root analysis and will thereafter continue with a detailed discussion of cointegration and will characterize the presence of cointegration in several widely-used statistical model (e.g. in the so-called triangular representation, in vector autoregressive models and state space models). After the structure theoretical analysis tools for estimating models for cointegrated time series as well as tests for the dimension of the cointegrating space will be discussed. The discussion will be augmented by also touching upon topics relevant for empirical research (including e.g. impulse response analysis in structural vector autoregressive models with cointegration).

Art der Leistungskontrolle und erlaubte Hilfsmittel

Mindestanforderungen und Beurteilungsmaßstab

Prüfungsstoff

Literatur


Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:46