Estimation of poverty measures with auxiliary information in sample surveys

被引：0
作者：
María del Mar Rueda
Juan Francisco Muñoz
机构：
[1] University of Granada,Departamento de Estatistica e I.O., Facultad de Ciencias
来源：
Quality & Quantity | 2011年 / 45卷
关键词：
Auxiliary information; Empirical likelihood; Jackknife and bootstrap methods; Poverty; Wage inequality;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The analysis of poverty measures has been receiving increased attention in recent years. This paper contributes to the literature by developing percentile ratio estimators based on the pseudo empirical likelihood method. In practice, variances of poverty measures could be not expressible by simple formulae and consequently other techniques should be used in the variance estimation stage. Assuming percentile ratios, resampling techniques are investigated in this paper. A numerical example based on data from the Spanish Household Panel Survey is taken up to illustrate how suggested procedures can perform better than existing ones. The effect of a model-misspecification on the proposed estimators is also evaluated by using simulated populations.
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页码：687 / 700
页数：13
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