Arbeitspapier

Conditional posteriors for the reduced rank regression model

The multivariate reduced rank regression model plays an important role in econo- metrics. Examples include co-integration analysis and models with a factor struc- ture. Geweke (1996) provided the foundations for a Bayesian analysis of this model. Unfortunately several of the full conditional posterior distributions, which forms the basis for constructing a Gibbs sampler for the poster distribution, given by Geweke contains errors. This paper provides correct full conditional posteriors for the re- duced rank regression model under the prior distributions considered by Geweke.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 11/2012

Klassifikation
Wirtschaft
Bayesian Analysis: General
Multiple or Simultaneous Equation Models; Multiple Variables: General
Forecasting Models; Simulation Methods
Thema
Gibbs sampling
full conditional posterior

Ereignis
Geistige Schöpfung
(wer)
Karlsson, Sune
Ereignis
Veröffentlichung
(wer)
Örebro University School of Business
(wo)
Örebro
(wann)
2012

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Karlsson, Sune
  • Örebro University School of Business

Entstanden

  • 2012

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