Empirical Bayes estimation of demographic schedules for small areas
Empirical Bayes estimation of demographic schedules for small areas
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DOI：
10.1353/dem.2005.0022
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发表时间：
2005-08-01
期刊：
影响因子：
3.5
通讯作者：
Cavenaghi, SM
中科院分区：
文献类型：
--
作者：
Assunçao, RM;Schmertmann, CP;Cavenaghi, SM
在这篇文章中，我们分析了经验贝叶斯（EB）方法估计小面积率时间表。我们开发EB方法，将时间表作为向量，并使用自适应邻域保持适当的本地估计。这种方法不仅从其他地方的类似个体，而且从同一地区的其他群体和跨地点的时间表中借用力量，从而估计当地亚群的人口比率。当利率具有较强的空间和年龄模式时，EB比标准方法好得多。我们说明了这种方法与估计的年龄特定的生育时间表超过3,800巴西城市。
In this article, we analyze empirical Bayes (EB) methods for estimating small-area rate schedules. We develop EB methods that treat schedules as vectors and use adaptive neighborhoods to keep estimates appropriately local. This method estimates demographic rates for local subpopulations by borrowing strength not only from similar individuals elsewhere but also from other groups in the same area and from regularities in schedules across locations. EB is substantially better than standard methods when rates have strong spatial and age patterns. We illustrate this method with estimates of age-specific fertility schedules for over 3,800 Brazilian municipalities.