Title: Bayesian Analysis of the Output Gap
Citation: JOURNAL OF BUSINESS & ECONOMIC STATISTICS vol. 26 no. 1 p. 18-32
Publication Year: 2008
JRC N°: JRC33927
ISSN: 0735-0015
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC33927
DOI: 10.1198/073500106000000576
Type: Articles in periodicals and books
Abstract: Our objective is to build output gap estimates that benefit from information provided by Phillips curve theory and business cycle studies. For this we develop a Bayesian analysis of the bivariate Phillips-curve model proposed by Kuttner (1994) for estimating potential output. Given our priors, we obtain samples from parameters and state joint posterior distribution following a Gibbs sampling strategy. We sample the state given parameters using the Carter and Kohn (1994) procedure and we exploit a likelihood factorization to draw parameters given the state. A Metropolis-Hastings step is used to remove the conditioning on starting values. In order to accommodate the variance moderation that has been observed on US GDP, Kuttner's model is extended for a change in variance parameters. We apply this methodology to the analysis of output gap in the US and in the European Monetary Union (EMU). Finally, some important extensions to the original Kuttner's model are discussed.
JRC Directorate:Space, Security and Migration

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