IDEAS home Printed from https://ideas.repec.org/a/bla/labour/v19y2005i4p767-800.html
   My bibliography  Save this article

Combining Administrative and Survey Data to Derive Small‐area Estimates Using Loglinear Modelling

Author

Listed:
  • Chungui Qiao

Abstract

. Structure‐preserving estimation (SPREE) is currently used to derive small‐area estimates of unemployment in New Zealand using data from the Household Labour Force Survey and the Ministry of Social Development. Noble et al. (Journal of Official Statistics 18: 45–60, 2002) advocate loglinear modelling as a major improvement and substitute for SPREE. The algorithm, however, is difficult to implement in SAS, the common statistical platform for the public sector, because of three major problems: (1) their way of writing the design matrix is incompatible with the ‘Proc Genmod’ procedure in SAS; (2) an important step in estimating cell frequencies from survey margins is unclear in the modelling procedure; and (3) the user has to manually write the design matrix of the model. This paper resolves these problems, provides novel SAS programs for implementing the approach, and discusses the implications.

Suggested Citation

  • Chungui Qiao, 2005. "Combining Administrative and Survey Data to Derive Small‐area Estimates Using Loglinear Modelling," LABOUR, CEIS, vol. 19(4), pages 767-800, December.
    • Handle: RePEc:bla:labour:v:19:y:2005:i:4:p:767-800
    DOI: 10.1111/j.1467-9914.2005.00314.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-9914.2005.00314.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1467-9914.2005.00314.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
    ---><---

    Citations

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


    Cited by:

    1. Whitaker, Stephan D., 2018. "Big Data versus a survey," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 285-296.

    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:labour:v:19:y:2005:i:4:p:767-800. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/csrotit.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.