Multinomial-based small area estimation of labour force indicators

被引：39

作者：

Lopez-Vizcaino, Esther ^{[1
]}

Jose Lombardia, Maria ^{[2
]}

Morales, Domingo ^{[3
]}

机构：

[1] Inst Galego Estat, Galicia, Spain

[2] Univ A Coruna, Dept Matemat, La Coruna, Spain

[3] Univ Miguel Hernandez Elche, Ctr Invest Operat, Elche 03202, Spain

来源：

STATISTICAL MODELLING | 2013年 / 13卷 / 02期

关键词：

Labour Force Survey; small area estimation; area level models; multinomial mixed models; bootstrap; unemployment totals; unemployment rates; MEAN SQUARED ERROR; MIXED-MODEL; PREDICTION;

D O I：

10.1177/1471082X13478873

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This paper deals with small area estimation of labour force characteristics like totals of employed, unemployed and inactive people and unemployment rates. Small area estimators of these quantities are derived from a multinomial logit mixed model with independent random effects on the categories of the response vector. The mean squared errors are estimated both by explicit formulas and by bootstrap methods. Two simulation experiments designed to analyze the behaviour of the introduced estimators have been carried out. Finally, an application to real data from the Spanish Labour Force Survey of Galicia is given.

引用

页码：153 / 178

页数：26