• Media type: E-Book
  • Title: A Bayesian Approach to Optimal Monetary Policy with Parameter and Model Uncertainty
  • Contributor: Cogley, Timothy [Author]; De Paoli, Bianca [Other]; Matthes, Christian [Other]; Nikolov, Kalin [Other]; Yates, Tony [Other]
  • Published: [S.l.]: SSRN, [2011]
  • Published in: Bank of England Working Paper ; No. 414
  • Extent: 1 Online-Ressource (74 p)
  • Language: English
  • DOI: 10.2139/ssrn.1786583
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 2, 2011 erstellt
  • Description: This paper undertakes a Bayesian analysis of optimal monetary policy for the United Kingdom. We estimate a suite of monetary policy models that include both forward and backward-looking representations as well as large and small-scale models. We find an optimal simple Taylor-type rule that accounts for both model and parameter uncertainty. For the most part, backward-looking models are highly fault tolerant with respect to policies optimised for forward-looking representations, while forward-looking models have low fault tolerance with respect to policies optimised for backward-looking representations. In addition, backward-looking models often have lower posterior probabilities than forward-looking models. Bayesian policies therefore have characteristics suitable for inflation and output stabilisation in forward-looking models
  • Access State: Open Access