Arbeitspapier

Bayesian Estimation of DSGE models: Is the Workhorse Model Identified?

Koop, Pesaran and Smith (2011) suggest a simple diagnostic indicator for the Bayesian estimation of the parameters of a DSGE model. They show that, if a parameter is well identified, the precision of the posterior should improve as the (artificial) data size T increases, and the indicator checks the speed at which precision improves. It does not require any additional programming; a researcher just needs to generate artificial data and estimate the model with different T. Applying this to Smets and Wouters'(2007) medium size US model, we find that while exogenous shock processes are well identified, most of the parameters in the structural equations are not.

Sprache
Englisch

Erschienen in
Series: School of Economics Discussion Papers ; No. 1125

Klassifikation
Wirtschaft
Model Construction and Estimation
Model Evaluation, Validation, and Selection
Business Fluctuations; Cycles
Thema
Bayesian Estimation
Dynamic stochastic general equilibrium models
Identification

Ereignis
Geistige Schöpfung
(wer)
Caglar, Evren
Chadha, Jagjit S.
Shibayama, Katsuyuki
Ereignis
Veröffentlichung
(wer)
University of Kent, School of Economics
(wo)
Canterbury
(wann)
2011

Handle
Letzte Aktualisierung
10.03.2025, 11:45 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

  • Caglar, Evren
  • Chadha, Jagjit S.
  • Shibayama, Katsuyuki
  • University of Kent, School of Economics

Entstanden

  • 2011

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