A comparison of EPI sampling, probability sampling, and compact segment sampling methods for micro and small enterprises
A comparison of EPI sampling, probability sampling, and compact segment sampling methods for micro and small enterprises
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DOI：
10.1016/j.jdeveco.2011.08.007
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发表时间：
2012-05-01
影响因子：
5
通讯作者：
Behrman, Jere
中科院分区：
文献类型：
--
作者：
Chao, Li-Wei;Szrek, Helena;Behrman, Jere
在发展中国家，为研究和统计报告目的对微型和小型企业进行抽样调查的有效方法是一项挑战，因为这些国家的微型和小型企业登记册往往不存在或已经过时。由于缺乏抽样框架，因此难以找到具有代表性的中小企业样本。本研究采用计算机模拟，从南非茨瓦内市的企业和非企业普查中抽取样本。采用三种不同的抽样方法：传统的概率抽样方法、紧凑段抽样方法和世界卫生组织的扩大免疫规划抽样方法。三种机制的方法可以不同的测试，接近选择的受访者，在家里选择的受访者，并使用不准确的概率权重。结果表明，重访和准确的概率权重的重要性，以及邻近选择对样本的统计特性的影响较小。(C)2011 Elsevier B.V.保留所有权利。
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reporting purposes is a challenge in developing countries, where registries of MSEs are often nonexistent or outdated.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. (C) 2011 Elsevier B.V. All rights reserved.