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

Author

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

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reporting purposes is a challenge in developing countries, where registries of MSEs are often nonexistent or outdated.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.

Suggested Citation

  • Chao, Li-Wei & Szrek, Helena & Peltzer, Karl & Ramlagan, Shandir & Fleming, Peter & Leite, Rui & Magerman, Jesswill & Ngwenya, Godfrey B. & Sousa Pereira, Nuno & Behrman, Jere, 2012. "A comparison of EPI sampling, probability sampling, and compact segment sampling methods for micro and small enterprises," Journal of Development Economics, Elsevier, vol. 98(1), pages 94-107.
    • Handle: RePEc:eee:deveco:v:98:y:2012:i:1:p:94-107
    DOI: 10.1016/j.jdeveco.2011.08.007
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    References listed on IDEAS

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    1. de Mel, Suresh & McKenzie, David J. & Woodruff, Christopher, 2009. "Measuring microenterprise profits: Must we ask how the sausage is made?," Journal of Development Economics, Elsevier, vol. 88(1), pages 19-31, January.
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    3. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    4. Alan Gelb & Taye Mengistae & Vijaya Ramachandran & Manju Kedia Shah, 2009. "To Formalize or Not to Formalize? Comparisons of Microenterprise Data from Southern and East Africa," Working Papers 175, Center for Global Development.
    5. McKenzie, David & Seynabou Sakho, Yaye, 2010. "Does it pay firms to register for taxes? The impact of formality on firm profitability," Journal of Development Economics, Elsevier, vol. 91(1), pages 15-24, January.
    6. Suresh de Mel & David McKenzie & Christopher Woodruff, 2009. "Returns to Capital in Microenterprises: Evidence from a Field Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 423-423.
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    3. Somanchi, Anmol, 2021. "Missing the Poor, Big Time: A Critical Assessment of the Consumer Pyramids Household Survey," SocArXiv qmce9, Center for Open Science.

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    Keywords

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    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, Innovation, 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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