DOES SAMPLE DESIGN MATTER FOR POVERTY RATE COMPARISONS
DOES SAMPLE DESIGN MATTER FOR POVERTY RATE COMPARISONS
复制标题
样本设计对于贫困率比较重要吗
DOI：
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
J. Lanjouw
中科院分区：
文献类型：
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作者：
Stephen Howes;J. Lanjouw
贫困比较——福利政策分析日益重要的起点——几乎总是基于家庭调查。因此，他们要求人们能够从抽样变化中区分被比较群体的潜在差异：必须计算标准误差。这通常是在假设住户调查是简单随机抽样的情况下进行的。然而，家庭调查要比这复杂得多。作者表明，考虑到抽样设计对众所周知的贫困措施的估计标准误差有重大影响。在他们的样本中，它们增加了大约一半。作者还表明，只对样本设计进行部分修正（考虑到聚类，但不考虑分层，无论是明确的还是隐含的）可能与根本不考虑任何抽样设计一样具有误导性。版权归国际收入与财富研究协会所有。
Poverty comparisons--an increasingly important starting-point for welfare policy analysis--are almost always based on household surveys. Therefore they require that one be able to distinguish underlying differences in the populations being compared from sampling variation: standard errors must be calculated. This has typically been done assuming that the household surveys are simple random samples. However, household surveys are more complex than this. The authors show that taking into account sampling design has a major effect on estimated standard errors for well-known poverty measures. In their samples they increase by around one-half. The authors also show that making only a partial correction for sample design (taking into account clustering, but not stratification, whether explicit or implicit) can be as misleading as not taking any account of sampling design at all. Copyright 1998 by The International Association for Research in Income and Wealth.