Monetary Policy in an Uncertain World: Probability Models and the Design of Robust Monetary Rules

Paul Levine ()

Working Papers from eSocialSciences

Abstract: The past forty years or so has seen a remarkable transformation in macro-models used by central banks, policymakers and forecasting bodies.This papers describes this trans formation from reduced-form behavioural equations estimated separately, through to contemporary micro-founded dynamic stochastic general equilibrium (DSGE) models estimated by systems methods.

Keywords: structureduncertainty; DSGEmodels; robustness; Bayesian estimation; interest-raterules (search for similar items in EconPapers)
Date: 2010-08
New Economics Papers: this item is included in nep-cba, nep-dge, nep-mac and nep-mon
Note: Institutional Papers
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Monetary policy in an uncertain world: probability models and the design of robust monetary rules (2012)
Working Paper: Monetary Policy in an Uncertain World: Probability Models and the Design of Robust Monetary Rules (2010)
Working Paper: Monetary policy in an uncertain world: Probability models and the design of robust monetary rules (2010)
Working Paper: Monetary Policy in an Uncertain World: Probability Models and the Design of Robust Monetary Rules (2010)
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