使用调查数据:对南方贫困进行有效估计

R. Carr-Hill
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引用次数: 0

摘要

根据调查数据作出推论时要谨慎,这一点很重要。这一章的重点是一个非常重要但未被研究的问题,即世界上最贫穷的人口被低估了。这种情况既有设计上的(不包括无家可归者、机构中的人和游牧人口),也有实践上的(脆弱家庭、城市贫民窟、不安全地区和富裕家庭中的仆人/奴隶)。在发展中国家,由于没有系统地收集出生和死亡登记等基本数据,很难进行人口普查间的估计。因此,捐助者促进了国际标准化家庭调查的使用。一个可能的替代方案是由印度非政府组织(Pratham)发起的公民调查。对三个东非国家的公民调查和同期人口与健康调查进行了比较
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using survey data: towards valid estimates of poverty in the South
It is important to be cautious about making inferences from survey data. This chapter focuses on one very important but unexamined problem, that of the undercount of the poorest in the world. This arises both by design (excluding the homeless, those in institutions and nomadic populations) and in practice (those in fragile households, urban slums, insecure areas and servants/slaves in rich households). In developing countries, it is difficult to make inter-censal estimates because essential data like birth and death registration are not systematically collected. Donors have therefore promoted the use of international standardized household surveys. A possible alternative is Citizen surveys initiated by an Indian NGO (Pratham). Comparisons are made between citizen surveys and contemporaneous Demographic and Health Surveys in three East African countries
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