文章基本信息

标题：Hierarchy and spatial autocorrelation effects in hedonic models.
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作者：Coro Chasco ; Julie Le Gallo
期刊名称：Economics Bulletin
电子版ISSN：1545-2921
出版年度：2012
卷号：32
期号：2
页码：1474-1480
出版社：Economics Bulletin
摘要：Hedonic housing price models should deal with spatial autocorrelation in order to avoid bias and inconsistency in the coefficient estimates. Multilevel models have been presented as a way of properly considering the effects of neighbourhood amenities operating at different spatial hierarchies. In this paper, we test this feature by specifying a three-level model for a dataset on downtown Madrid, which includes spatially lagged explanatory variables. The results show that hierarchical models are not capable of fully capturing spatial autocorrelation so that more effort should be done in developing the appropriate spatial multilevel models.
关键词：hedonic models; hierarchical data; multilevel models; spatial autocorrelation