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ARCH and structural breaks in United States inflation

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  • Bill Russell

Abstract

United States Phillips curves are routinely estimated without accounting for the shifts in mean inflation. As a result, we may expect the standard estimates of Phillips curves to be biased and suffer from auto-regressive conditional heteroscedasticity (ARCH). We demonstrate this is indeed the case. We also demonstrate that once the shifts in mean inflation are accounted for, the ARCH is largely eliminated in the estimated model and the model defining expected rate of inflation in the New Keynesian model plays no significant role in the dynamics of inflation.

Suggested Citation

  • Bill Russell, 2014. "ARCH and structural breaks in United States inflation," Applied Economics Letters, Taylor & Francis Journals, vol. 21(14), pages 973-978, September.
    • Handle: RePEc:taf:apeclt:v:21:y:2014:i:14:p:973-978
    DOI: 10.1080/13504851.2014.902017
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    1. Russell, Bill, 2011. "Non-stationary inflation and panel estimates of United States short and long-run Phillips curves," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 406-419, September.
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    5. Svensson, Lars E. O., 2000. "Open-economy inflation targeting," Journal of International Economics, Elsevier, vol. 50(1), pages 155-183, February.
    6. Russell, Bill & Chowdhury, Rosen Azad, 2013. "Estimating United States Phillips curves with expectations consistent with the statistical process of inflation," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 24-38.
    7. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
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    9. Engle, Robert F, 1983. "Estimates of the Variance of U.S. Inflation Based upon the ARCH Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 15(3), pages 286-301, August.
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    11. Bill Russell, 2006. "Non-Stationary Inflation and the Markup: an Overview of the Research and some Implications for Policy," Dundee Discussion Papers in Economics 191, Economic Studies, University of Dundee.
    12. Kevin B. Grier & Mark J. Perry, 2000. "The effects of real and nominal uncertainty on inflation and output growth: some garch-m evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 45-58.
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    17. Baillie, Richard T & Chung, Ching-Fan & Tieslau, Margie A, 1996. "Analysing Inflation by the Fractionally Integrated ARFIMA-GARCH Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(1), pages 23-40, Jan.-Feb..
    18. Cosimano, Thomas F & Jansen, Dennis W, 1988. "Estimates of the Variance of U.S. Inflation Based upon the ARCH Model: A Comment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 20(3), pages 409-421, August.
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    Cited by:

    1. Bill Russell & Dooruj Rambaccussing, 2016. "Breaks and the Statistical Process of Inflation: The Case of the ‘Modern’ Phillips Curve," Dundee Discussion Papers in Economics 294, Economic Studies, University of Dundee.
    2. Bill Russell & Dooruj Rambaccussing, 2019. "Breaks and the statistical process of inflation: the case of estimating the ‘modern’ long-run Phillips curve," Empirical Economics, Springer, vol. 56(5), pages 1455-1475, May.
    3. Hentati-Kaffel, Rania & de Peretti, Philippe, 2015. "Generalized runs tests to detect randomness in hedge funds returns," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 608-615.

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    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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