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Designing stratified sampling in economic and business surveys

Author

Listed:
  • M.G.M. Khan
  • K.G. Reddy
  • D.K. Rao

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.

Suggested Citation

  • M.G.M. Khan & K.G. Reddy & D.K. Rao, 2015. "Designing stratified sampling in economic and business surveys," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(10), pages 2080-2099, October.
    • Handle: RePEc:taf:japsta:v:42:y:2015:i:10:p:2080-2099
    DOI: 10.1080/02664763.2015.1018674
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    References listed on IDEAS

    as
    1. Anirban Chakraborti & Marco Patriarca, 2008. "Gamma-distribution and wealth inequality," Papers 0802.4410, arXiv.org.
    2. Ravindra Singh & B. Sukhatme, 1969. "Optimum stratification," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 21(1), pages 515-528, December.
    3. Ravindra Singh & Dev Parkash, 1975. "Optimum stratification for equal allocation," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 27(1), pages 273-280, December.
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    Cited by:

    1. Danish Faizan & Rizvi S. E. H., 2021. "Approximately optimum strata boundaries for two concomitant stratification variables under proportional allocation," Statistics in Transition New Series, Polish Statistical Association, vol. 22(4), pages 19-40, December.
    2. K. G. Reddy & M. G. M. Khan, 2020. "stratifyR: An R Package for optimal stratification and sample allocation for univariate populations," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 62(3), pages 383-405, September.
    3. Faizan Danish & S. E. H. Rizvi, 2021. "Approximately optimum strata boundaries for two concomitant stratification variables under proportional allocation," Statistics in Transition New Series, Polish Statistical Association, vol. 22(4), pages 19-40, December.

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