IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v169y2006i4p883-902.html
   My bibliography  Save this article

Dependence in the 2001 one‐number census project

Author

Listed:
  • James Brown
  • Owen Abbott
  • Ian Diamond

Abstract

Summary. The one‐number census approach was developed by the Office for National Statistics to adjust the counts from the 2001 census of England and Wales for underenumeration. The method is underpinned by an assumption of independence between the count of the population that was given by the 2001 census and the count that was given by the Census Coverage Survey. Some dependence was, however, detected, and the paper describes the strategy that was used to measure dependence and to adjust the 2001 census population estimates.

Suggested Citation

  • James Brown & Owen Abbott & Ian Diamond, 2006. "Dependence in the 2001 one‐number census project," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 883-902, October.
  • Handle: RePEc:bla:jorssa:v:169:y:2006:i:4:p:883-902
    DOI: 10.1111/j.1467-985X.2006.00431.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-985X.2006.00431.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1467-985X.2006.00431.x?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. J. J. Brown & I. D. Diamond & R. L. Chambers & L. J. Buckner & A. D. Teague, 1999. "A methodological strategy for a one‐number census in the UK," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(2), pages 247-267.
    2. Fiona Steele & James Brown & Ray Chambers, 2002. "A controlled donor imputation system for a one‐number census," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(3), pages 495-522, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Baffour Bernard & Brown James J. & Smith Peter W.F., 2021. "Latent Class Analysis for Estimating an Unknown Population Size – with Application to Censuses," Journal of Official Statistics, Sciendo, vol. 37(3), pages 673-697, September.
    2. Bakker Bart F.M. & Heijden Peter G.M. van der & Scholtus Sander, 2015. "Preface," Journal of Official Statistics, Sciendo, vol. 31(3), pages 349-355, September.
    3. Gołata Elżbieta, 2016. "Shift in Methodology and Population Census Quality," Statistics in Transition New Series, Polish Statistical Association, vol. 17(4), pages 631-658, December.
    4. Elżbieta Gołata, 2016. "Shift In Methodology And Population Census Quality," Statistics in Transition New Series, Polish Statistical Association, vol. 17(4), pages 631-658, December.
    5. I. B. J. Goudie & M. Goudie, 2007. "Who captures the marks for the Petersen estimator?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 825-839, July.

    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. Len Cook, 2004. "Discussion on the meeting on 'The 2001 census and beyond'," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(2), pages 229-248.
    2. Fiona Steele & James Brown & Ray Chambers, 2002. "A controlled donor imputation system for a one‐number census," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(3), pages 495-522, October.
    3. Philip Redfern, 2004. "An alternative view of the 2001 census and future census taking," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(2), pages 209-228, May.
    4. Zhiqiang Zheng & Balaji Padmanabhan, 2006. "Selectively Acquiring Customer Information: A New Data Acquisition Problem and an Active Learning-Based Solution," Management Science, INFORMS, vol. 52(5), pages 697-712, May.
    5. Chipperfield James & Brown James & Bell Philip, 2017. "Estimating the Count Error in the Australian Census," Journal of Official Statistics, Sciendo, vol. 33(1), pages 43-59, March.
    6. Bernard Baffour & Thomas King & Paolo Valente, 2013. "The Modern Census: Evolution, Examples and Evaluation," International Statistical Review, International Statistical Institute, vol. 81(3), pages 407-425, December.
    7. Gerritse Susanna C. & Heijden Peter G.M. van der & Bakker Bart F.M., 2015. "Sensitivity of Population Size Estimation for Violating Parametric Assumptions in Log-linear Models," Journal of Official Statistics, Sciendo, vol. 31(3), pages 357-379, September.
    8. Lucie Dostál & Siegfried Gabler & Matthias Ganninger & Ralf Münnich, 2016. "Frame Correction Modelling with Applications to the German Register-Assisted Census 2011," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(3), pages 904-920, September.

    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:jorssa:v:169:y:2006:i:4:p:883-902. 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: https://edirc.repec.org/data/rssssea.html .

    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.