Model-Assisted Estimation of Small Area Poverty Measures: An Application within the Valencia Region in Spain

被引：0
作者：
Domingo Morales
María del Mar Rueda
Dolores Esteban
机构：
[1] Miguel Hernández University of Elche,Operations Research Center
[2] University of Granada,Department of Statistics and Operations Research and IEMath
来源：
Social Indicators Research | 2018年 / 138卷
关键词：
Small area estimation; Poverty index; Model-assisted estimation; Nested error regression model; Empirical best predictor;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper introduces small area estimators of poverty indexes, with special attention to the poverty rate (or Head Count Index), and studies the sampling design consistency and the asymptotic normality of these estimators. The estimators are assisted by nested error regression models and are model-assisted counterparts of model-based empirical best predictors. Simulation studies show that these estimators present a good balance between sampling bias and mean squared error. Data from the 2013 Spanish living conditions survey with respect to the region of Valencia are used to determine the performance of this new method for estimating the poverty rate.
引用
收藏
页码：873 / 900
页数：27
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