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

• Type: Article in International Scientific Journal
• Date: 2012

Authors

Chao, LW (Author) Other; Szrek, H (Author) FEP; Peltzer, K (Author) Other; Ramlagan, S (Author) Other; Fleming, P (Author) Other; Leite, R (Author) Other; Magerman, J (Author) Other; Ngwenya, GB (Author) Other; Nuno Sousa Pereira (Author) FEP; Behrman, J (Author) Other

Journal

Title: JOURNAL OF DEVELOPMENT ECONOMICS

Vol. 98 No. 1

Pages: 94-107

ISSN: 0304-3878

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 19 Citations

Scopus - 20 Citations

Other information

Authenticus ID: P-002-AWN

DOI: 10.1016/j.jdeveco.2011.08.007

Abstract (EN): 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reporting purposes is a challenge in developing countries, where registries of MSEs are often nonexistent or outdated.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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14