A comparison of EPI sampling, probability sampling, and compact segment sampling methods for micro and small enterprises
OUTPUT TYPE: Journal Article
PUBLICATION YEAR: 2011
TITLE AUTHOR(S): L.Chao, H.Szrek, K.Peltzer, S.Ramlagan, P.Fleming, R.Leite, J.Magerman, G.B.Ngwenya, N.S.Pereira, J.Behrman
KEYWORDS: INFORMAL SECTOR, SELF EMPLOYED PERSONS, SMALL MEDIUM AND MICRO ENTERPRISES
DEPARTMENT: Public Health, Societies and Belonging (HSC)
Print: HSRC Library: shelf number 6966
HANDLE: 20.500.11910/3653
URI: http://hdl.handle.net/20.500.11910/3653
If you would like to obtain a copy of this Research Output, please contact Hanlie Baudin at researchoutputs@hsrc.ac.za.
Abstract
Finding an efficient method for sampling micro- and small-enterprises (MSEs) for research and statistical reporting purposes is a challenge in developing countries, where registries of MSEs are often nonexistent or outdated. This lack of a sampling frame creates an obstacle in finding a representative sample of MSEs. This study uses computer simulations to draw samples from a census of businesses and non-businesses in the Tshwane Municipality of South Africa, using three different sampling methods: the traditional probability sampling method, the compact segment sampling method, and the World Health Organization's Expanded Programme on Immunization (EPI) sampling method. Three mechanisms by which the methods could differ are tested, the proximity selection of respondents, the at-home selection of respondents, and the use of inaccurate probability weights. The results highlight the importance of revisits and accurate probability weights, but the lesser effect of proximity selection on the samples' statistical properties.-
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