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Identification of New Keynesian Phillips Curves from a global perspective

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Author Info
Stéphane Dées () (European Central Bank, Kaiserstrasse 29, 60311 Frankfurt am Main, Germany.)
M. Hashem Pesaran () (Cambridge University and USC; The Old Schools, Trinity Lane, Cambridge CB2 1TN, United Kingdom.)
L. Vanessa Smith () (Centre for Financial Analysis and Policy (CFAP), Judge Business School, University of Cambridge, Trumpington Street, Cambridge CB2 1AG, UK.)
Ron P. Smith () (Birkbeck, University of London, Malet Street, Bloomsbury, London WC1E 7HX, UK.)

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Abstract

New Keynesian Phillips Curves (NKPC) have been extensively used in the analysis of monetary policy, but yet there are a number of issues of concern about how they are estimated and then related to the underlying macroeconomic theory. The first is whether such equations are identified. To check identification requires specifying the process for the forcing variables (typically the output gap) and solving the model for inflation in terms of the observables. In practice, the equation is estimated by GMM, relying on statistical criteria to choose instruments. This may result in failure of identification or weak instruments. Secondly, the NKPC is usually derived as a part of a DSGE model, solved by log-linearising around a steady state and the variables are then measured in terms of deviations from the steady state. In practice the steady states, e.g. for output, are usually estimated by some statistical procedure such as the Hodrick-Prescott (HP) filter that might not be appropriate. Thirdly, there are arguments that other variables, e.g. interest rates, foreign inflation and foreign output gaps should enter the Phillips curve. This paper examines these three issues and argues that all three benefit from a global perspective. The global perspective provides additional instruments to alleviate the weak instrument problem, yields a theoretically consistent measure of the steady state and provides a natural route for foreign inflation or output gap to enter the NKPC. JEL Classification: C32, E17, F37, F42.

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Paper provided by European Central Bank in its series Working Paper Series with number 892.

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Length: 40 pages
Date of creation: Apr 2008
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Handle: RePEc:ecb:ecbwps:20080892

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Related research
Keywords: Global VAR (GVAR) identification New Keynesian Phillips Curve Trend-Cycle decomposition.

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  1. Mavroeidis, Sophocles, 2005. "Identification Issues in Forward-Looking Models Estimated by GMM, with an Application to the Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 421-48, June.
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  3. Gali, Jordi & Gertler, Mark & David Lopez-Salido, J., 2005. "Robustness of the estimates of the hybrid New Keynesian Phillips curve," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1107-1118, September. [Downloadable!] (restricted)
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  4. M. Hashem Pesaran & Ron Smith, 2006. "Macroeconometric Modelling With A Global Perspective," Manchester School, University of Manchester, vol. 74(s1), pages 24-49, 09. [Downloadable!] (restricted)
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  5. Pesaran, M. H., 1981. "Identification of rational expectations models," Journal of Econometrics, Elsevier, vol. 16(3), pages 375-398, August. [Downloadable!] (restricted)
  6. Filippo di Mauro & L. Vanessa Smith & Stephane Dees & M. Hashem Pesaran, 2007. "Exploring the international linkages of the euro area: a global VAR analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 1-38. [Downloadable!]
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  7. King, Robert G. & Watson, Mark W., 1994. "The post-war U.S. phillips curve: a revisionist econometric history," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 41, pages 157-219, December. [Downloadable!] (restricted)
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  8. Batini, Nicoletta & Jackson, Brian & Nickell, Stephen, 2005. "An open-economy new Keynesian Phillips curve for the U.K," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1061-1071, September. [Downloadable!] (restricted)
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  10. Donald Robertson & Anthony Garratt & Stephen Wright, 2006. "Permanent vs transitory components and economic fundamentals," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 521-542. [Downloadable!]
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  11. Schreiber, Sven & Wolters, Jurgen, 2007. "The long-run Phillips curve revisited: Is the NAIRU framework data-consistent?," Journal of Macroeconomics, Elsevier, vol. 29(2), pages 355-367, June. [Downloadable!] (restricted)
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  13. Charles R. Nelson & Jaejoon Lee, 2007. "Expectation horizon and the Phillips Curve: the solution to an empirical puzzle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 161-178. [Downloadable!]
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  15. 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. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Fanelli, Luca, 2008. "Evaluating the New Keynesian Phillips Curve under VAR-Based Learning," Economics Discussion Papers 2008-15, Kiel Institute for the World Economy. [Downloadable!]
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