A comparison of EPI sampling, probability sampling, and compact segment sampling methods for micro and small enterprises

Li-Wei Chao, Helena Szrek, Karl Peltzer, Shandir Ramlagan, Peter Fleming, Rui Leite, Jesswill Magerman, Godfrey B. Ngwenya, Nuno Sousa Pereira and Jere Behrman

Journal of Development Economics, 2012, vol. 98, issue 1, 94-107

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reporting purposes is a challenge in developing countries, where registries of MSEs are often nonexistent or outdated.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, and the lesser effect of proximity selection on the samples' statistical properties.

Keywords: Entrepreneurship; Sampling methods; Informal sector; Health; Self employment; Micro and small enterprises (search for similar items in EconPapers)
JEL-codes: C83 I10 J23 L26 O17 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:deveco:v:98:y:2012:i:1:p:94-107

DOI: 10.1016/j.jdeveco.2011.08.007

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