Click here for search results
Cost-effective estimation of the population mean using prediction estimators
 
Author:Fujii, Tomoki ; van der Weide, Roy; Collection Title:Policy Research working paper ; no. WPS 6509
Country:World; Date Stored:2013/06/26
Document Date:2013/06/01Document Type:Policy Research Working Paper
Language:EnglishRegion:The World Region
Report Number:WPS6509Volume No:1 of 1

Summary: 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.

Official Documents
Official, scanned versions of documents (may include signatures, etc.)
File TypeDescriptionFile Size (mb)
PDF 38 pagesOfficial version*2.66 (approx.)
TextText version**
How To Order

* The official version is derived from scanning the final, paper copy of the document and is the official,
archived version including all signatures, charts, etc.
** The text version is the OCR text of the final scanned version and is not an accurate representation of the final text.
It is provided solely to benefit users with slow connectivity.



Permanent URL for this page: http://go.worldbank.org/O7D9IA55O0