Advanced Search
MyIDEAS: Login to save this paper or follow this series

Cost-effective estimation of the population mean using prediction estimators

Contents:

Author Info

  • Fujii, Tomoki
  • van der Weide, Roy

Abstract

This paper considers the prediction estimator as an efficient estimator for the population mean. The study may be viewed as an earlier study that proved that the prediction estimator based on the iteratively weighted least squares estimator outperforms the sample mean. The analysis finds that a certain moment condition must hold in general for the prediction estimator based on a Generalized-Method-of-Moment estimator to be at least as efficient as the sample mean. In an application to cost-effective double sampling, the authors show how prediction estimators may be adopted to maximize statistical precision (minimize financial costs) under a budget constraint (statistical precision constraint). This approach is particularly useful when the outcome variable of interest is expensive to observe relative to observing its covariates.

Download Info

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: http://www-wds.worldbank.org/servlet/WDSContentServer/WDSP/IB/2013/06/26/000158349_20130626143144/Rendered/PDF/WPS6509.pdf
Download Restriction: no

Bibliographic Info

Paper provided by The World Bank in its series Policy Research Working Paper Series with number 6509.

as in new window
Length:
Date of creation: 01 Jun 2013
Date of revision:
Handle: RePEc:wbk:wbrwps:6509

Contact details of provider:
Postal: 1818 H Street, N.W., Washington, DC 20433
Phone: (202) 477-1234
Email:
Web page: http://www.worldbank.org/
More information through EDIRC

Related research

Keywords:

This paper has been announced in the following NEP Reports:

References

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

Citations

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:wbk:wbrwps:6509. 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: (Roula I. Yazigi).

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.