A comparison of EPI sampling, probability sampling, and compact segment sampling methods for micro and small enterprises
AbstractFinding 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reporting purposes is a challenge in developing countries, where registries of MSEs are often nonexistent or outdated.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.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Development Economics.
Volume (Year): 98 (2012)
Issue (Month): 1 ()
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Entrepreneurship; Sampling methods; Informal sector; Health; Self employment; Micro and small enterprises;
Find related papers by JEL classification:
- L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- O17 - Economic Development, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
- I10 - Health, Education, and Welfare - - Health - - - General
- J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
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