IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v44y2015i1p63-79.html
   My bibliography  Save this article

Variance Estimation from Complex Survey Designs: A Case Study of Household Income and Expenditure Survey Design 2002/03, Botswana

Author

Listed:
  • Raghunath Arnab
  • T. Zewotir
  • D. North

Abstract

In large-scale surveys, it is common to use a multistage sampling design, where the first-stage units are selected with varying probability without replacement and the second-stage units are selected according to the systematic sampling procedure. It is however well known that this sampling design makes it impossible to find unbiased estimate of the variance of the estimate of the population total. In this paper, a few methods of variance estimation in multistage sampling involving systematic sampling design have been proposed to overcome the problem discussed. The proposed variance estimators are compared with the few conventional methods, for example, Random group, Jackknife, as well as the method used by the Central Statistical Office (CSO) using the live data based on Household Income and Expenditure Survey (HIES) 2002/03, Botswana, collected by CSO. It is found that all the proposed methods and Jackknife method perform better than the method used by CSO.

Suggested Citation

  • Raghunath Arnab & T. Zewotir & D. North, 2015. "Variance Estimation from Complex Survey Designs: A Case Study of Household Income and Expenditure Survey Design 2002/03, Botswana," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 44(1), pages 63-79, January.
    • Handle: RePEc:taf:lstaxx:v:44:y:2015:i:1:p:63-79
    DOI: 10.1080/03610926.2012.731130
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2012.731130
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2012.731130?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:lstaxx:v:44:y:2015:i:1:p:63-79. 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/lsta .

    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.