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Priors for the long run

Gespeichert in:

Personen und Körperschaften: Giannone, Domenico (VerfasserIn), Lenza, Michele (VerfasserIn), Primiceri, Giorgio E. (VerfasserIn)
Titel: Priors for the long run/ Domenico Giannone, Michele Lenza, Giorgio E. Primiceri
Format: E-Book
Sprache: Englisch
veröffentlicht:
Frankfurt am Main, Germany European Central Bank [2018]
Gesamtaufnahme: Europäische Zentralbank: Working paper series ; no 2132 (February 2018)
Quelle: Verbunddaten SWB
Lizenzfreie Online-Ressourcen
Details
Zusammenfassung: We propose a class of prior distributions that discipline the long-run behavior of Vector Autoregressions (VARs). These priors can be naturally elicited using economic theory, which provides guidance on the joint dynamics of macroeconomic time series in the long run. Our priors for the long run are conjugate, and can thus be easily implemented using dummy observations and combined with other popular priors. In VARs with standard macroeconomic variables, a prior based on the long-run predictions of a wide class of theoretical models yields substantial improvements in the forecasting performance.
Umfang: 1 Online-Ressource (circa 51 Seiten); Illustrationen
ISBN: 9789289932370
9289932376
DOI: 10.2866/086534