haku: @author Zha, T. / yhteensä: 2
viite: 2 / 2
« edellinen | seuraava »
Tekijä:Sims, C.
Zha, T.
Otsikko:Bayesian methods for dynamic multivariate models
Lehti:International Economic Review
1998 : NOV, VOL. 39:4, p. 949-968
Asiasana:ECONOMICS
BAYESIAN STATISTICS
DYNAMIC MODELS
Kieli:eng
Tiivistelmä:If dynamic multivariate models are to be used to guide decision-making, it is important that probability assessments of forecasts or policy projections be provided. When identified Bayesian vector autoregression (VAR) models are presented with error bands in the existing literature, both conceptual and numerical problems have not been dealt with in an internally consistent way. In this paper, the authors develop methods to introduce prior information in both reduced-form and structural VAR models without introducing substantial new computational burdens.
SCIMA tietueen numero: 186712
lisää koriin
« edellinen | seuraava »
SCIMA