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Small area estimation for longitudinal surveys

机译：纵向调查的小面积估算

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摘要

Over the last few years many studies have been carried out in Italy to identify reliable small area labour force indicators. Considering the rotated sample design of the Italian Labour Force Survey, the aim of this work is to derive a small area estimator which "borrows strength" from individual temporal correlation, as well as from related areas. Two small area estimators are derived as extensions of an estimation strategies proposed by Fuller (1990) for partial overlap samples. A simulation study is carried out to evaluate the gain in efficiency provided by our solutions. Results obtained for different levels of autocorrelation between repeated measurements on the same outcome and different population settings show that these estimators are always more reliable than the traditional composite one, and in some circumstances they are extremely advantageous.
机译：在过去的几年中，意大利进行了许多研究，以确定可靠的小区域劳动力指标。考虑到意大利劳动力调查的旋转样本设计，这项工作的目的是从个人时间相关性以及相关区域中得出一个“借力”的小区域估计量。作为小区域重叠样本的富勒（1990）提出的估计策略的扩展，得出了两个小面积估计器。进行了仿真研究，以评估我们解决方案提供的效率提升。在相同结果和不同人群设置的重复测量之间，针对不同水平的自相关所获得的结果表明，这些估计量始终比传统的复合估计量更可靠，并且在某些情况下非常有利。

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