Technology shocks and aggregate fluctuations in an estimated hybrid RBC model

Arbeitspapier

This paper contributes to the on-going empirical debate regarding the role of the RBC model and in particular of technology shocks in explaining aggregate fluctuations. To this end we estimate the model's posterior density using Markov-Chain Monte-Carlo (MCMC) methods. Within this framework we extend Ireland's (2001, 2004) hybrid estimation approach to allow for a vector autoregressive moving average (VARMA) process to describe the movements and co-movements of the model's errors not explained by the basic RBC model. The results of marginal likelihood ratio tests reveal that the more general model of the errors significantly improves the model's fit relative to the VAR and AR alternatives. Moreover, despite setting the RBC model a more difficult task under the VARMA specification, our analysis, based on forecast error and spectral decompositions, suggests that the RBC model is still capable of explaining a significant fraction of the observed variation in macroeconomic aggregates in the post-war U.S. economy.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: CESifo Working Paper ; No. 2626

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Bayesian Analysis: General ; Model Evaluation, Validation, and Selection ; Business Fluctuations; Cycles
• Thema: Real Business Cycle ; Bayesian estimation ; VARMA errors ; Real Business Cycle ; Technologie ; Schock ; Bayes-Statistik ; VAR-Modell ; Modell-Spezifikation ; Theorie ; USA

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Malley, Jim ; Woitek, Ulrich
• Ereignis: Veröffentlichung
• (wer): Center for Economic Studies and ifo Institute (CESifo)
• (wo): Munich
• (wann): 2009

Weitere Informationen

• Handle: http://hdl.handle.net/10419/26671
• Letzte Aktualisierung: 10.03.2025, 11:42 MEZ