IDEAS home Printed from https://ideas.repec.org/a/taf/mpopst/v27y2020i3p184-198.html
   My bibliography  Save this article

Triple-source estimator for estimating the net error in census coverage

Author

Listed:
  • Guihua Hu
  • Li Qi
  • Min Hu
  • Yingan Wang

Abstract

The triple-source estimator avoids the correlation bias inherent in the double-source estimator, which has been a popular estimator of population size for assessing the quality of a census. The triple-source estimator relies on the census list, the quality-assessment survey list, and the administrative record list. It also provides an estimate of the net census coverage error. It is established in population strata of equal probability of being drawn and based on a sample. The triple-source estimator provides an unbiased estimate of the net error.

Suggested Citation

  • Guihua Hu & Li Qi & Min Hu & Yingan Wang, 2020. "Triple-source estimator for estimating the net error in census coverage," Mathematical Population Studies, Taylor & Francis Journals, vol. 27(3), pages 184-198, July.
  • Handle: RePEc:taf:mpopst:v:27:y:2020:i:3:p:184-198
    DOI: 10.1080/08898480.2018.1553415
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/08898480.2018.1553415
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/08898480.2018.1553415?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:mpopst:v:27:y:2020:i:3:p:184-198. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GMPS20 .

    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.