Combining samples in small area estimation: An application to poverty mapping in Vietnam

IF 1 4区 经济学 Q3 ECONOMICS Economics of Transition and Institutional Change Pub Date : 2024-02-06 DOI:10.1111/ecot.12413
Cuong Viet Nguyen
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引用次数: 0

Abstract

Small area estimation (SAE), which combines a population census and a sample survey, is widely used to estimate poverty and welfare indicators in small areas. A common situation in practice is that a population census is conducted using both short- and long-form questionnaires. The short form is used to collect basic demographic information for the whole population, while the long form is used to collect additional information, such as employment, from a random sample. This study shows that combining both short- and long-form data can improve estimation efficiency. This method is applied to poverty maps for the 2014–2019 period in Vietnam.

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小面积估算中的样本组合:越南贫困绘图的应用
小地区估算(SAE)结合了人口普查和抽样调查,被广泛用于估算小地区的贫困和福利指标。实践中常见的情况是,人口普查同时使用短表和长表问卷。短表用于收集整个人口的基本人口信息,而长表则用于收集随机抽样的附加信息,如就业情况。这项研究表明,将短表和长表数据结合起来可以提高估算效率。该方法适用于越南 2014-2019 年期间的贫困地图。
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来源期刊
CiteScore
1.70
自引率
11.10%
发文量
32
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