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Trend Inflation and the Nature of Structural Breaks in the New Keynesian Phillips Curve


  • Chang-Jin Kim

    () (Department of Economics, University ofWashington, and Department of Economics, Korea University)

  • Pym Manopimoke

    () (Department of Economics, University of Kansas)

  • Charles R. Nelson

    () (Department of Economics, University of Washington)


In this paper, we investigate the nature of structural breaks in inflation by estimating a version of the New Keynesian Phillips curve (NKPC) in the presence of a unit root in inflation. We show that, with a unit root in inflation, the NKPC implies an unobserved components model that consists of three components: a stochastic trend component, a component that depends upon current and future forecasts of real economic activity, and a stationary component which is potentially serially correlated (or a component of inflation that is not explained by the conventional forward-looking NKPC). Our empirical results suggest that, with an increase in trend inflation during the Great Inflation period, the response of inflation to real economic activity decreases and the persistence of the inflation gap increases due to an increase in the persistence of the unobserved stationary component. These results are in line with the predictions of Cogley and Sbordone (2008), who show that the coefficients of the NKPC are functions of time-varying trend inflation.

Suggested Citation

  • Chang-Jin Kim & Pym Manopimoke & Charles R. Nelson, 2013. "Trend Inflation and the Nature of Structural Breaks in the New Keynesian Phillips Curve," Discussion Paper Series 1305, Institute of Economic Research, Korea University.
  • Handle: RePEc:iek:wpaper:1305

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    References listed on IDEAS

    1. Peter N. Ireland, 2007. "Changes in the Federal Reserve's Inflation Target: Causes and Consequences," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(8), pages 1851-1882, December.
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    4. Margaret M. McConnell & Gabriel Perez-Quiros, 2000. "Output fluctuations in the United States: what has changed since the early 1980s?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    5. Nelson, Charles R & Schwert, G William, 1977. "Short-Term Interest Rates as Predictors of Inflation: On Testing the Hypothesis That the Real Rate of Interest is Constant," American Economic Review, American Economic Association, vol. 67(3), pages 478-486, June.
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    7. James H. Stock & Mark W. Watson, 2007. "Erratum to "Why Has U.S. Inflation Become Harder to Forecast?"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1849-1849, October.
    8. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
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    12. 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.
    13. Murray, Christian & Nikolsko-Rzhevskyy, Alex & Papell, David, 2008. "Inflation Persistence and the Taylor Principle," MPRA Paper 11353, University Library of Munich, Germany.
    14. Kang Kyu Ho & Kim Chang-Jin & Morley James, 2009. "Changes in U.S. Inflation Persistence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(4), pages 1-23, September.
    15. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    16. Timothy Cogley & Argia M. Sbordone, 2008. "Trend Inflation, Indexation, and Inflation Persistence in the New Keynesian Phillips Curve," American Economic Review, American Economic Association, vol. 98(5), pages 2101-2126, December.
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    More about this item


    New Keynesian Phillips Curve; Trend Inflation; Inflation Gap; Unobserved Components Model; Structural Breaks;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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