Monetary Policy Analysis in Real-Time. Vintage combination from a real-time dataset

Carlo Altavilla and Matteo Ciccarelli

CSEF Working Papers from Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy

Abstract: This paper provides a general strategy for analyzing monetary policy in real time which accounts for data uncertainty without explicitly modelling the revision process. The strategy makes use of all the data available from a real-time data matrix and averages model estimates across all data releases. Using standard forecasting and policy models to analyze monetary authorities’ reaction functions, we show that this simple method can improve forecasting performance and provide reliable estimates of the policy model coe¢cients associated with small central bank losses, in particular during periods of high macroeconomic uncertainty.

Keywords: Monetary policy; Taylor rule; Real-time data; Great Moderation; Forecasting. (search for similar items in EconPapers)
JEL-codes: C32 C53 C82 E52 E58 (search for similar items in EconPapers)
Date: 2011-02-20
New Economics Papers: this item is included in nep-cba, nep-eec, nep-for, nep-mac and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Related works:
Working Paper: Monetary Policy Analysis in Real-Time. Vintage Combination from a Real-Time Dataset (2011)
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Persistent link: https://EconPapers.repec.org/RePEc:sef:csefwp:274

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