We investigate how real-time parameter learning, optimal policies and the volatility of exogenous shocks affect the policymakers' ability to distinguish across competing models of the economy. The detection speed of model misspecification depends only on the relative volatility of supply and demand shocks. (C) 2011 Elsevier B.V. All rights reserved.

Optimal monetary policy and model selection in a real-time learning environment

Ravenna, Federico
2012-01-01

Abstract

We investigate how real-time parameter learning, optimal policies and the volatility of exogenous shocks affect the policymakers' ability to distinguish across competing models of the economy. The detection speed of model misspecification depends only on the relative volatility of supply and demand shocks. (C) 2011 Elsevier B.V. All rights reserved.
2012
114
3
322
325
Learning; Optimal monetary policy; Model misspecification; Business cycle
Ravenna, Federico
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1963992
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact