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Multinomial-based small area estimation of labour force indicators

机译:基于多项式的劳动力指标小面积估计

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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.
机译:本文涉及劳动力特征的小范围估计,例如就业人口,失业人口和失业人口的总数以及失业率。这些量的小面积估计量是从对响应向量类别具有独立随机影响的多项式logit混合模型得出的。均方误差通过显式公式和自举方法进行估算。已进行了两个旨在分析引入的估计量行为的仿真实验。最后,给出了对西班牙加利西亚劳动力调查的真实数据的应用。

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