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Expectation horizon and the Phillips Curve: the solution to an empirical puzzle

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  • Charles R. Nelson

    (Department of Economics, University of Washington, Seattle, Washington, USA)

  • Jaejoon Lee

    (Samsung Research Institute of Finance, Seoul, Korea)

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    Abstract

    Estimates of the slope of the Phillips curve reported in the literature cover a range from roughly − 0.6 to zero depending on specification. Forward-looking specifications, favored by theory, produce the smallest slope estimates. This paper addresses this puzzle by studying the bivariate process of inflation and unemployment in a fairly general unobserved components framework allowing for stochastic trends and related cycles. Analysis reveals that the slope of the implied Phillips curve will depend critically on the horizon of the forward-looking inflation expectation provided the cyclical component of unemployment is highly persistent. Empirical analysis results show that is the case, suggesting that the choice of expectation horizon, generally set at one quarter in the New Keynesian literature, may play an important role in this debate. Copyright © 2007 John Wiley & Sons, Ltd.

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    File URL: http://hdl.handle.net/10.1002/jae.928
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    File URL: http://qed.econ.queensu.ca:80/jae/2007-v22.1/
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    Bibliographic Info

    Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

    Volume (Year): 22 (2007)
    Issue (Month): 1 ()
    Pages: 161-178

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    Handle: RePEc:jae:japmet:v:22:y:2007:i:1:p:161-178

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    References

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    1. Jordi Gali & Mark Gertler, 2000. "Inflation Dynamics: A Structural Econometric Analysis," NBER Working Papers 7551, National Bureau of Economic Research, Inc.
    2. Clarida, Richard & Galí, Jordi & Gertler, Mark, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," CEPR Discussion Papers 2139, C.E.P.R. Discussion Papers.
    3. Thomas Laubach, 2001. "Measuring The NAIRU: Evidence From Seven Economies," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 218-231, May.
    4. James Morley & Charles Nelson & Eric Zivot, 2002. "Why Are Beveridge-Nelson and Unobserved-Component Decompositions of GDP So Different?," Working Papers UWEC-2002-01, University of Washington, Department of Economics.
    5. Jeffrey C. Fuhrer, 1995. "The Phillips curve is alive and well," New England Economic Review, Federal Reserve Bank of Boston, issue Mar, pages 41-56.
    6. 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(1), pages 157-219, December.
    7. Roberts, John M, 1995. "New Keynesian Economics and the Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(4), pages 975-84, November.
    8. Arturo Estrella & Jeffrey C. Fuhrer, 2002. "Dynamic Inconsistencies: Counterfactual Implications of a Class of Rational-Expectations Models," American Economic Review, American Economic Association, vol. 92(4), pages 1013-1028, September.
    9. Charles Nelson & Eric Zivot, 2000. "Why are Beveridge-Nelson and Unobserved-Component Decompositions of GDP so Different?," Econometric Society World Congress 2000 Contributed Papers 0692, Econometric Society.
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    Cited by:
    1. T. Berger, 2008. "Estimating Europe’s Natural Rates from a forward-looking Phillips curve," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/498, Ghent University, Faculty of Economics and Business Administration.
    2. Stephane Dees & M. Hashem Pesaran & L. Vanessa Smith & Ron P. Smith, 2008. "Identification of New Keynesian Phillips Curves from a Global Perspective," CESifo Working Paper Series 2219, CESifo Group Munich.
    3. Tino Berger, 2011. "Estimating Europe’s natural rates," Empirical Economics, Springer, vol. 40(2), pages 521-536, April.
    4. Ron Smith & M. Hashem Pesaran, 2007. "Monetary Policy Transmission and the Phillips Curve in a Global Context," Kiel Working Papers 1366, Kiel Institute for the World Economy.
    5. Juselius, Mikael, 2008. "Testing the New Keynesian Model on U.S. and Euro Area Data," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy, vol. 2(24), pages 1-26.
    6. Lahiri, Kajal & Sheng, Xuguang, 2008. "Evolution of forecast disagreement in a Bayesian learning model," Journal of Econometrics, Elsevier, vol. 144(2), pages 325-340, June.

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