EXTENSIONS OF HURDLE MODELS FOR OVERDISPERSED COUNT DATA
EXTENSIONS OF HURDLE MODELS FOR OVERDISPERSED COUNT DATA
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DOI：
10.1002/hec.2892
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发表时间：
2013-11-01
期刊：
影响因子：
2.1
通讯作者：
Farbmacher, Helmut
中科院分区：
文献类型：
--
作者：
Farbmacher, Helmut
跨栏模型经常用于对计数数据进行建模。计数数据文献的最新发展使得放宽这些模型通常强加的假设成为可能。基于这些发现，开发了两种障碍模型的扩展，使流行的规范更加灵活。这两个扩展都嵌套了迄今为止使用的模型，因此可以通过适当的参数限制来测试它们。健康经济学的一个例子说明了这两种模型扩展的相关性。版权所有 (c) 2012 John Wiley & Sons, Ltd.
Hurdle models are frequently used to model count data. Recent developments in the count data literature make it possible to relax commonly imposed assumptions of these models. On the basis of these findings, two extensions of hurdle models that make popular specifications more flexible are developed. Both extensions nest the models that have been used so far, so they can be tested by appropriate parametric restrictions. An example from health economics illustrates the relevance of both model extensions. Copyright (c) 2012 John Wiley & Sons, Ltd.