IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

The Design Effect: Bias and Variance Estimation

Listed author(s):
  • Alberto Padilla
Registered author(s):

    The estimation of the sample size is a crucial part of the planning process of a survey and it can be accomplished in different ways, some of them require information not available or that may be obtained with a substantial cost. The estimation of the sample size can be done by using the design effect estimator proposed by Kish. This estimator is also used as an efficiency measure for a probability sampling plan and to build confidence intervals. Even though the design effect estimator is widely used in practice, little is known about its statistical properties and there are no variance estimators available. In this paper we show that the design effect estimator is biased, we give an expression for an upper bound to the ratio of the bias to the standard error and a method to estimate the variance. With these elements it is possible to improve the precision of the estimators during the planning and estimation stage of a survey. This also results in a better resource allocation during the planning stage of a survey.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Paper provided by Banco de México in its series Working Papers with number 2012-18.

    in new window

    Date of creation: Dec 2012
    Handle: RePEc:bdm:wpaper:2012-18
    Contact details of provider: Web page:

    More information through EDIRC

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:bdm:wpaper:2012-18. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dirección de Sistemas)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.