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dc.contributor.authorFanelli, Lucaen_US
dc.date.accessioned2009-01-28T15:05:24Z-
dc.date.available2009-01-28T15:05:24Z-
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/10419/17987-
dc.description.abstractThis paper proposes the econometric evaluation of the New Keynesian Phillips Curve (NKPC) in the euro area, under a particular specification of the adaptive learning hypothesis. The key assumption is that agents? perceived law of motion is a Vector Autoregressive (VAR) model, whose coefficients are updated by maximum likelihood estimation, as the information set increases over time. Each time new data is available, likelihood ratio tests for the crossequation restrictions that the NKPC imposes on the VAR are computed and compared with a proper set of critical values which take the sequential nature of the test into account. The analysis is developed by focusing on the case where the variables entering the NKPC can be approximated as nonstationary cointegrated processes, assuming that the agents? recursive estimation algorithm involves only the parameters associated with the short run transient dynamics of the system. Results on quarterly data relative to the period 1981?2006 show that: (i) the euro area inflation rate and the wage share are cointegrated; (ii) the cointegrated version of the ?hybrid? NKPC is sharply rejected under the rational expectations hypothesis; (iii) the model is supported by the data over relevant fractions of the chosen monitoring period, 1986?2006, under the adaptive learning hypothesis, although this evidence does not appear compelling.en_US
dc.language.isoengen_US
dc.publisherKiel Institute for the World Economy (IfW) Kiel-
dc.relation.ispartofseriesEconomics Discussion Papers / Institut für Weltwirtschaft 2008-15en_US
dc.subject.jelE10en_US
dc.subject.jelC52en_US
dc.subject.jelD83en_US
dc.subject.jelC32en_US
dc.subject.ddc330en_US
dc.subject.keywordAdaptive learningen_US
dc.subject.keywordcointegrationen_US
dc.subject.keywordcross-equation restrictionsen_US
dc.subject.keywordforward-looking model of inflation dynamicsen_US
dc.subject.keywordNew Keynesian Phillips Curveen_US
dc.subject.stwNew-Keynesian Phillips Curveen_US
dc.subject.stwLernprozessen_US
dc.subject.stwAdaptive Erwartungen_US
dc.subject.stwEuropäische Wirtschafts- und Währungsunionen_US
dc.subject.stwVAR-Modellen_US
dc.subject.stwEU-Staatenen_US
dc.titleEvaluating the New Keynesian Phillips Curve under VAR-Based Learningen_US
dc.typeWorking Paperen_US
dc.identifier.ppn561921474en_US
dc.rights.licensehttp://creativecommons.org/licenses/by-nc/2.0/de/deed.en-
dc.identifier.repecRePEc:zbw:ifwedp:7257-
Appears in Collections:Economics: The Open-Access, Open-Assessment E-Journal - Discussion Papers

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