Arbeitspapier

Does Joint Modelling of the World Economy Pay Off? Evaluating Global Forecasts from a Bayesian GVAR

We analyze how modeling international dependencies improves forecasts for the global economy based on a Bayesian GVAR with SSVS prior and stochastic volatility. To analyze the source of performance gains, we decompose the predictive joint density into its marginals and a copula term capturing the dependence structure across countries. The GVAR outperforms forecasts based on country-specific models. This performance is solely driven by superior predictions for the dependence structure across countries, whereas the GVAR does not yield better predictive marginal densities. The relative performance gains of the GVAR model are particularly pronounced during volatile periods and for emerging economies.

Sprache
Englisch

Erschienen in
Series: Discussion Paper Series ; No. 590

Klassifikation
Wirtschaft
Thema
GVAR
global economy
forecast evaluation
log score
copula

Ereignis
Geistige Schöpfung
(wer)
Dovern, Jonas
Feldkircher, Martin
Huber , Florian
Ereignis
Veröffentlichung
(wer)
University of Heidelberg, Department of Economics
(wo)
Heidelberg
(wann)
2015

DOI
doi:10.11588/heidok.00018586
Handle
URN
urn:nbn:de:bsz:16-heidok-185864
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

  • Dovern, Jonas
  • Feldkircher, Martin
  • Huber , Florian
  • University of Heidelberg, Department of Economics

Entstanden

  • 2015

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