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Assessing the New Keynesian Phillips Curve in the Euro Area Using Disaggregate Data

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  • Norkute, Milda

    ()
    (Department of Economics, Lund University)

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    Abstract

    There is no a priori reason to suppose that price-setting behaviour is homogeneous across sectors and countries. Aggregate data is, however, commonly used to estimate the New Keynesian Phillips curve (NKPC), which may very well yield erroneous results if price-setting behaviour is heterogeneous. In this paper we therefore estimate the hybrid NKPC for the Euro Area using a novel sectoral data set containing quarterly observations from 1999Q1 to 2012Q1. We show that a positive relationship between inflation and real marginal cost cannot be established empirically for a majority of countries and sectors. We also perform a meta-analysis by combining the results of individual significance tests in order to assess the validity of the NKPC in each country across all sectors and in each sector across all countries. We find no empirical evidence for the NKPC in the Euro Area when this meta-analysis is used. Our results therefore raise doubts about the appropriateness of the NKPC for the analysis of inflation dynamics and monetary policy in the Euro Area.

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    File URL: http://project.nek.lu.se/publications/workpap/papers/WP13_31.pdf
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    Bibliographic Info

    Paper provided by Lund University, Department of Economics in its series Working Papers with number 2013:31.

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    Length: 36 pages
    Date of creation: 13 Sep 2013
    Date of revision:
    Handle: RePEc:hhs:lunewp:2013_031

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    Postal: Department of Economics, School of Economics and Management, Lund University, Box 7082, S-220 07 Lund,Sweden
    Phone: +46 +46 222 0000
    Fax: +46 +46 2224613
    Web page: http://www.nek.lu.se/en
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    Keywords: New Keynesian Phillips curve; Inflation; Meta-analysis;

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    1. Dees, S. & Pesaran, M.H. & Smith, L.V. & Smith, R.P., 2008. "Identification of New Keynesian Phillips Curves from a Global Perspective," Cambridge Working Papers in Economics 0803, Faculty of Economics, University of Cambridge.
    2. Andreas Beyer & Roger E. A. Farmer & Jérôme Henry & Massimiliano Marcellino, 2007. "Factor Analysis in a Model with Rational Expectations," NBER Working Papers 13404, National Bureau of Economic Research, Inc.
    3. Richard Clarida & Jordi Gali & Mark Gertler, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," NBER Working Papers 7147, National Bureau of Economic Research, Inc.
    4. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    5. Bai, Jushan & Ng, Serena, 2010. "Instrumental Variable Estimation In A Data Rich Environment," Econometric Theory, Cambridge University Press, vol. 26(06), pages 1577-1606, December.
    6. repec:mcb:jmoncb:v:45:y:2013:i::p:913-932 is not listed on IDEAS
    7. Joseph P. Byrne & Alexandros Kontonikas & Alberto Montagnoli, 2013. "International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(5), pages 913-932, 08.
    8. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
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