IDEAS home Printed from https://ideas.repec.org/a/jns/jbstat/v225y2005i4p386-393.html
   My bibliography  Save this article

Weaknesses of the Baxter-King Filter: Is a Pattern-Based Filter an Alternative? / Schwächen des Baxter-King Filters: Ist ein musterbasierter Filter eine Alternative?

Author

Listed:
  • Goldrian Georg

    (ifo Institut für Wirtschaftsforschung an der Universität München, Poschingerstraße 5, D-81679 München, Germany)

Abstract

The Baxter-King filter shows some weaknesses, particularly with regard to monthly time series. This procedure involves not only a loss of data for the border areas of time series, but suppresses inadequately high frequency components and shows as a low-pass filter only the performance of ordinary moving averages. Another important finding is that the maximal lag Κ not only determines the degree of approximation to an ideal filter, as Baxter and King argue, but also the ability to extract a slow moving component. A pattern-based filter, whose weights are generated by a trigonometric function as well, does not possess such weaknesses, and is thus a real alternative to the Baxter-King filter.

Suggested Citation

  • Goldrian Georg, 2005. "Weaknesses of the Baxter-King Filter: Is a Pattern-Based Filter an Alternative? / Schwächen des Baxter-King Filters: Ist ein musterbasierter Filter eine Alternative?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(4), pages 386-393, August.
    • Handle: RePEc:jns:jbstat:v:225:y:2005:i:4:p:386-393
    DOI: 10.1515/jbnst-2005-0402
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jbnst-2005-0402
    Download Restriction: no
    File URL: https://libkey.io/10.1515/jbnst-2005-0402?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, May.
    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. Goldrian Georg & Lehne Birgit, 1999. "Zur Approximation der Trend-Zyklus-Komponente am aktuellen Rand einer Zeitreihe / A new Approach to Approximate the Trend-Cyclical-Component at the Current End of a Time Series," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 219(3-4), pages 344-356, June.
    4. Ulrich Woitek, 1998. "A Note on the Baxter-King Filter," Working Papers 9813, Business School - Economics, University of Glasgow.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Uebele, Martin & Ritschl, Albrecht, 2009. "Stock markets and business cycle comovement in Germany before World War I: Evidence from spectral analysis," Journal of Macroeconomics, Elsevier, vol. 31(1), pages 35-57, March.
    2. Kufenko, Vadim, 2016. "Spurious periodicities in cliometric series: Simultaneous testing," Violette Reihe: Schriftenreihe des Promotionsschwerpunkts "Globalisierung und Beschäftigung" 48/2016, University of Hohenheim, Carl von Ossietzky University Oldenburg, Evangelisches Studienwerk.
    3. Sarferaz, Samad & Uebele, Martin, 2009. "Tracking down the business cycle: A dynamic factor model for Germany 1820-1913," Explorations in Economic History, Elsevier, vol. 46(3), pages 368-387, July.
    4. Jaromir Benes & David Vavra, 2004. "Eigenvalue Decomposition of Time Series with Application to the Czech Business Cycle," Working Papers 2004/08, Czech National Bank.
    5. Owolabi, Adegboyega O. & Berdiev, Aziz N. & Saunoris, James W., 2022. "Is the shadow economy procyclical or countercyclical over the business cycle? International evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 257-270.
    6. Ageliki Anagnostou & Ioannis Panteladis & Maria Tsiapa, 2015. "Disentangling different patterns of business cycle synchronicity in the EU regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(3), pages 615-641, August.
    7. Siem Jan Koopman & Joao Valle e Azevedo, 2003. "Measuring Synchronisation and Convergence of Business Cycles," Tinbergen Institute Discussion Papers 03-052/4, Tinbergen Institute.
    8. Polanski, Arnold & Stoja, Evarist, 2017. "Forecasting multidimensional tail risk at short and long horizons," International Journal of Forecasting, Elsevier, vol. 33(4), pages 958-969.
    9. Gallegati, Marco & Giri, Federico & Palestrini, Antonio, 2019. "DSGE model with financial frictions over subsets of business cycle frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 152-163.
    10. Martínez, Juan Francisco & Oda, Daniel, 2021. "Characterization of the Chilean financial cycle, early warning indicators and implications for macro-prudential policies," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(1).
    11. Richard Ashley & Randal Verbrugge, 2009. "Frequency Dependence in Regression Model Coefficients: An Alternative Approach for Modeling Nonlinear Dynamic Relationships in Time Series," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 4-20.
    12. Liang, Kuo-Yuan & Yen, Chen-Hui, 2014. "Dissecting the cycles: An intermarket investigation and its implications to portfolio reallocation," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 39-51.
    13. Gonzales-Martínez, Rolando & Hurtado, Enrique & Valdivia, Pedro, 2008. "Un método de Cálculo y Temporización de Previsiones Cíclicas para el Sistema Financiero Boliviano [The calculation and timing of cyclical provisions in the Bolivian financial system]," MPRA Paper 14120, University Library of Munich, Germany, revised Feb 2009.
    14. Dewald, William G. & Haug, Alfred A., 2004. "Longer-term effects of monetary growth on real and nominal variables, major industrial countries, 1880-2001," Working Paper Series 382, European Central Bank.
    15. Huseyin Cagri Akkoyun & Bahar Sen Dogan & Mahmut Gunay, 2011. "Turkiye Ekonomisi Is Cevrimlerinin Kuresel Ekonomi ile Iliskisi," CBT Research Notes in Economics 1119, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    16. Lake, James & Linask, Maia K., 2016. "Could tariffs be pro-cyclical?," Journal of International Economics, Elsevier, vol. 103(C), pages 124-146.
    17. Martyna Marczak & Víctor Gómez, 2017. "Monthly US business cycle indicators: a new multivariate approach based on a band-pass filter," Empirical Economics, Springer, vol. 52(4), pages 1379-1408, June.
    18. Mathy, Gabriel P. & Meissner, Christopher M., 2011. "Business cycle co-movement: Evidence from the Great Depression," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 362-372.
    19. Claudio Barbieri & Mattia Guerini & Mauro Napoletano, 2021. "The anatomy of government bond yields synchronization in the Eurozone," SciencePo Working papers Main hal-03373853, HAL.
    20. Uebele, Martin, 2011. "National and international market integration in the 19th century: Evidence from comovement," Explorations in Economic History, Elsevier, vol. 48(2), pages 226-242, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jns:jbstat:v:225:y:2005:i:4:p:386-393. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.