Small area estimates of labour force participation under a multinomial logit mixed model
Small area estimates of labour force participation under a multinomial logit mixed model
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多项 Logit 混合模型下劳动力参与率的小区域估计
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
M. José Lombardía
中科院分区：
文献类型：
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作者：
I. Molina;A. Saei;M. José Lombardía
摘要.为估计小地区的失业或就业特征制定了一种新的方法，其依据假设失业和就业个人的抽样总数遵循具有随机地区效应的多项罗吉特模型。 该方法是说明与英国劳动力数据汇总的性别年龄组。对于这些数据，直接估计的准确性与从多项logit模型得出的估计值相比较差。此外，给出了均方误差的两种不同的估计：通过泰勒线性化获得的解析近似和基于自举的估计。对两种估计量进行比较的模拟研究表明，自助估计量具有良好的性能。
Summary. A new methodology is developed for estimating unemployment or employment characteristics in small areas, based on the assumption that the sample totals of unemployed and employed individuals follow a multinomial logit model with random area effects. The method is illustrated with UK labour force data aggregated by sex–age groups. For these data, the accuracy of direct estimates is poor in comparison with estimates that are derived from the multinomial logit model. Furthermore, two different estimators of the mean‐squared errors are given: an analytical approximation obtained by Taylor linearization and an estimator based on bootstrapping. A simulation study for comparison of the two estimators shows the good performance of the bootstrap estimator.