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Estimation of the Business Cycles - Selected Methodological Problems of the Hodrick-Prescott Filter Application

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  • Kapounek, Svatopluk

Abstract

The aim of this article is to highlight a number of problems due to a rather „mechanical“ application of the Hodrick-Prescott Filter and its possible implication for the monetary policy decision-making process. The author concludes that HP filter is not able to estimate the potential output, however it could be used as the efficient tool in monetary policy decision making process and its stabilizing function.

Suggested Citation

  • Kapounek, Svatopluk, 2009. "Estimation of the Business Cycles - Selected Methodological Problems of the Hodrick-Prescott Filter Application," MPRA Paper 27567, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:27567
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    File URL: https://mpra.ub.uni-muenchen.de/27567/1/MPRA_paper_27567.pdf
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    References listed on IDEAS

    as
    1. Victor Zarnowitz, 1992. "Business Cycles: Theory, History, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number zarn92-1, February.
    2. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    3. Finn E. Kydland & Edward C. Prescott, 1996. "The Computational Experiment: An Econometric Tool," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 69-85, Winter.
    4. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1, February.
    5. Guay, A & St-Amant, P, 1996. "Do Mechanical Filters Provide a Good Approximation of Business Cycles?," Working Papers-Department of Finance Canada 1996-2, Department of Finance Canada.
    6. Celsa Machado, 2001. "Measuring Business Cycles: The Real Business Cycle Approach and Related Controversies," FEP Working Papers 107, Universidade do Porto, Faculdade de Economia do Porto.
    7. Bevilacqua, Franco & Zon, Adriaan van, 2001. "Random walks and non-linear paths in macroeconomic time series: Some evidence and implications," Research Memorandum 007, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
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    Citations

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    Cited by:

    1. Václav Adamec, 2018. "Synchronization of Economic Cycles in Countries of the Visegrad Group, Germany and Eurozone," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(3), pages 719-728.
    2. Jitka Poměnková, 2010. "An Alternative Approach to the Dating of Business Cycle: Nonparametric Kernel Estimation," Prague Economic Papers, Prague University of Economics and Business, vol. 2010(3), pages 251-272.
    3. Jitka POMĚNKOVÁ & Roman MARŠÁLEK, 2012. "Time and frequency domain in the business cycle structure," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 58(7), pages 332-346.

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    More about this item

    Keywords

    economic activity indicator; time series; BDS test; stochastic process; non-linearity;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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