USING CENSUS AND SURVEY DATA TO ESTIMATE POVERTY AND INEQUALITY FOR SMALL AREAS

• 成果类型: Article
• 署名作者: Tarozzi, Alessandro; Deaton, Angus
• 署名单位: Duke University; Princeton University
• 刊物名称: REVIEW OF ECONOMICS AND STATISTICS
• ISSN/ISSBN: 0034-6535
• DOI: 10.1162/rest.91.4.773
• 发表日期: 2009-11
• 页码: 773-792
• 关键词: models

摘要

Recent years have seen widespread use of small-area maps based on census data enriched by relationships estimated from household surveys that predict variables, such as income, not covered by the census. The purpose is to obtain putatively precise estimates of poverty and inequality for small areas for which no or few observations are available in the survey. We argue that to usefully match survey and census data in this way requires a degree of spatial homogeneity for which the method provides no basis and which is unlikely to be satisfied in practice. We document the potential empirical relevance of such concerns using data from the 2000 census of Mexico.