Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/bla/stanee/v72y2018i4p406-420.html
   My bibliography  Save this article

On the sequential benchmarking of subannual series to annual totals

Author

Listed:
  • Jacco Daalmans
Abstract
Temporal benchmarking according to the least squares methods of Denton is widely used for official statistics. The purpose of Denton methods is to achieve consistency between high‐ and low‐frequency data, for example, quarterly and annual data. The high‐frequency data are adjusted to align with low‐frequency data, while preserving as much as possible the short‐term movements of the preliminary high‐frequency data. Theoretically, it is best to benchmark all available data for all periods at once. Practically, such a simultaneous approach is often not feasible, due to the impossibility of changing results that have already been published. Therefore, benchmarking is often applied according to a sequential approach. This paper demonstrates that a popular Denton method is not always appropriate for sequential benchmarking. Undesirable abrupt changes of benchmarking corrections can occur. This paper proposes solutions that better preserve the short‐term movements between sequentially benchmarked series.

Suggested Citation

  • Jacco Daalmans, 2018. "On the sequential benchmarking of subannual series to annual totals," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 406-420, November.
    • Handle: RePEc:bla:stanee:v:72:y:2018:i:4:p:406-420
    DOI: 10.1111/stan.12163
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/stan.12163
    Download Restriction: no
    File URL: https://libkey.io/10.1111/stan.12163?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. Mr. Marco Marini & Mr. Tommaso Di Fonzo, 2012. "On the Extrapolation with the Denton Proportional Benchmarking Method," IMF Working Papers 2012/169, International Monetary Fund.
    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. Elva BOVA & João TOVAR JALLES & Christina KOLERUS, 2018. "Shifting the Beveridge curve: What affects labour market matching?," International Labour Review, International Labour Organization, vol. 157(2), pages 267-306, June.
    2. He, Xi & Lopez, Rigoberto & Liu, Yizao, 2015. "Substitution between Online and Offline Advertising: Evidence from the Carbonated Soft Drink Industry," Working Paper series 290109, University of Connecticut, Charles J. Zwick Center for Food and Resource Policy.
    3. Sami Ben Naceur & Amr Hosny & Gregory Hadjian, 2019. "How to de-dollarize financial systems in the Caucasus and Central Asia?," Empirical Economics, Springer, vol. 56(6), pages 1979-1999, June.
    4. Guilherme Klein Martins & Fernando Rugitsky, 2021. "The Long Expansion and the Profit Squeeze: Output and Profit Cycles in Brazil (1996–2016)," Review of Radical Political Economics, Union for Radical Political Economics, vol. 53(3), pages 373-397, September.
    5. Wang,Dieter, 2021. "Natural Capital and Sovereign Bonds," Policy Research Working Paper Series 9606, The World Bank.
    6. repec:eur:ejfejr:42 is not listed on IDEAS
    7. Raïmi Aboudou Essessinou & Guy Degla, 2020. "Using a Fast Elitist Non-Dominated Genetic Algorithm on Multiobjective Programming for Quarterly Disaggregation of the Gross Domestic Product," European Journal of Engineering and Formal Sciences Articles, European Center for Science Education and Research, vol. 4, January -.
    8. Mr. Marco Marini & Mr. Robert Dippelsman & Mr. Michael Stanger, 2018. "New Estimates for Direction of Trade Statistics," IMF Working Papers 2018/016, International Monetary Fund.
    9. Enrique M. Quilis, 2018. "Temporal disaggregation of economic time series: The view from the trenches," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 447-470, November.
    10. Samya Beidas-Strom & Marco Lorusso, 2019. "Macroeconomic Effects of Reforms on Three Diverse Oil Exporters: Russia, Saudi Arabia, and the UK," IMF Working Papers 2019/214, International Monetary Fund.

    More about this item

    Statistics

    Access and download statistics

    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:bla:stanee:v:72:y:2018:i:4:p:406-420. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0039-0402 .

    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.