Designing stratified sampling in economic and business surveys

Khan, Mohammad G.M. and Reddy, Karuna G. and Rao, Dinesh K. (2015) Designing stratified sampling in economic and business surveys. Journal of Applied Statistics, NA (NA). pp. 1-22. ISSN 0266-4763

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Abstract

In most economic and business surveys, the target variables (e.g. turnover of enterprises, income of households, etc.) commonly resemble skewed distributions with many small and few large units. In such surveys, if a stratified sampling technique is used as a method of sampling and estimation, the convenient way of stratification such as the use of demographical variables (e.g. gender, socioeconomic class, geographical region, religion, ethnicity, etc.) or other natural criteria, which is widely practiced in economic surveys, may fail to form homogeneous strata and is not much useful in order to increase the precision of the estimates of variables of interest. In this paper, a stratified sampling design for economic surveys based on auxiliary information has been developed, which can be used for constructing optimum stratification and determining optimum sample allocation to maximize the precision in estimate.

Item Type:	Journal Article
Additional Information:	Free Access Restricted
Subjects:	H Social Sciences > HA Statistics H Social Sciences > HC Economic History and Conditions Q Science > Q Science (General)
Divisions:	Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences
Depositing User:	Generic Account
Date Deposited:	16 Mar 2015 02:59
Last Modified:	15 Mar 2017 21:48
URI:	http://repository.usp.ac.fj/id/eprint/8130

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