IDEAS home Printed from https://ideas.repec.org/a/gam/jecnmx/v9y2021i1p3-d475182.html
   My bibliography  Save this article

Enhanced Methods of Seasonal Adjustment

Author

Listed:
  • D. Stephen G. Pollock

    (Department of Economics, University of Leciceter, Leciceter LE1 7RH, UK)

Abstract

The effect of the conventional model-based methods of seasonal adjustment is to nullify the elements of the data that reside at the seasonal frequencies and to attenuate the elements at the adjacent frequencies. It may be desirable to nullify some of the adjacent elements instead of merely attenuating them. For this purpose, two alternative sets of procedures are presented that have been implemented in a computer program named SEASCAPE. In the first set of procedures, a basic seasonal adjustment filter is augmented by additional filters that are targeted at the adjacent frequencies. In the second set of procedures, a Fourier transform of the data is exploited to allow the elements in the vicinities of the seasonal frequencies to be eliminated or attenuated at will. The question is raised of whether an estimated trend-cycle trajectory that is devoid of high-frequency noise can serve in place of the seasonally adjusted data.

Suggested Citation

  • D. Stephen G. Pollock, 2021. "Enhanced Methods of Seasonal Adjustment," Econometrics, MDPI, vol. 9(1), pages 1-23, January.
    • Handle: RePEc:gam:jecnmx:v:9:y:2021:i:1:p:3-:d:475182
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2225-1146/9/1/3/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2225-1146/9/1/3/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    2. D.S.G. Pollock, "undated". "Filters, Waves and Spectra," Discussion Papers in Economics 19/08, Division of Economics, School of Business, University of Leicester.
    3. D. Stephen G. Pollock, 2018. "Filters, Waves and Spectra," Econometrics, MDPI, vol. 6(3), pages 1-33, July.
    4. Pollock, D. S. G., 2000. "Trend estimation and de-trending via rational square-wave filters," Journal of Econometrics, Elsevier, vol. 99(2), pages 317-334, December.
    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. Zhengyuan Gao & Christian M. Hafner, 2019. "Looking Backward and Looking Forward," Econometrics, MDPI, vol. 7(2), pages 1-24, June.
    2. Luca Benati, 2001. "Band-pass filtering, cointegration, and business cycle analysis," Bank of England working papers 142, Bank of England.
    3. Lukáš Kučera, 2018. "Investice v transmisním mechanismu cílování inflace verifikace zdrojů variability investic v České republice [Investment in the Transmission Mechanism of Inflation Targeting - Verification of Sourc," Politická ekonomie, Prague University of Economics and Business, vol. 2018(2), pages 201-217.
    4. D. S. G. Pollock, 2016. "Econometric Filters," Computational Economics, Springer;Society for Computational Economics, vol. 48(4), pages 669-691, December.
    5. Tommaso Proietti, 2009. "On the Model-Based Interpretation of Filters and the Reliability of Trend-Cycle Estimates," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 186-208.
    6. Johannes W. Fedderke & Daniel K. Mengisteab, 2017. "Estimating South Africa's Output Gap and Potential Growth Rate," South African Journal of Economics, Economic Society of South Africa, vol. 85(2), pages 161-177, June.
    7. D. Stephen G. Pollock, 2020. "Linear Stochastic Models in Discrete and Continuous Time," Econometrics, MDPI, vol. 8(3), pages 1-22, September.
    8. Lechman, Ewa & Dominiak, Piotr, 2016. "Entrepreneurship vulnerability to business cycle. A new methodology for identification pro-cyclical and counter-cyclical patterns of entrepreneurial activity," MPRA Paper 68793, University Library of Munich, Germany.
    9. Phuong Nguyen-Hoang, 2015. "Volatile earmarked revenues and state highway expenditures in the United States," Transportation, Springer, vol. 42(2), pages 237-256, March.
    10. Huang, Ho-Chuan & Lin, Pei-Chien, 2016. "The trade effects of counter-cyclical fiscal policies," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 82-95.
    11. Proietti, Tommaso, 2007. "Signal extraction and filtering by linear semiparametric methods," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 935-958, October.
    12. Schröder, Marcel, 2013. "Should developing countries undervalue their currencies?," Journal of Development Economics, Elsevier, vol. 105(C), pages 140-151.
    13. McElroy, Tucker & Sutcliffe, Andrew, 2006. "An iterated parametric approach to nonstationary signal extraction," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2206-2231, May.
    14. Emmanuel Apergis & Nicholas Apergis, 2019. "“Sakura” has not grown in a day: infrastructure investment and economic growth in Japan under different tax regimes," Empirical Economics, Springer, vol. 57(2), pages 541-567, August.
    15. Ard den Reijer, 2006. "The Dutch business cycle: which indicators should we monitor?," DNB Working Papers 100, Netherlands Central Bank, Research Department.
    16. Pollock, D.S.G., 2006. "Econometric methods of signal extraction," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2268-2292, May.
    17. Johannes W. Fedderke, 2020. "Is the Phillips curve framework still useful for understanding inflation dynamics in South Africa," Working Papers 10142, South African Reserve Bank.
    18. Lukáš Kučera, 2014. "Investment of Czech Institutional Sectors in the Business Cycle," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2014(1), pages 41-61.
    19. Schröder, Marcel, 2017. "Mercantilism and China's hunger for international reserves," China Economic Review, Elsevier, vol. 42(C), pages 15-33.
    20. Lubos Hanus & Lukas Vacha, 2015. "Business cycle synchronization of the Visegrad Four and the European Union," Working Papers IES 2015/19, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2015.

    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:gam:jecnmx:v:9:y:2021:i:1:p:3-:d:475182. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.