定位与产业聚类计量经济学:空间点过程吉布斯模型的评估

S. Sweeney, M. Gómez-Antonio
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引用次数: 10

摘要

本文的目的是评估一种点参考企业数据的统计建模方法,该方法允许包含“环境”或特定于企业的协变量以及特定形式的企业间相互作用。利用Gibbs模型将空间点过程的条件强度分解为趋势分量和相互作用分量。趋势由访问措施(主要是不同类别的道路)组成,并测试了三种不同的交互过程:Geyer,区域交互和Strauss硬核。虽然所使用的模型已被证明在生态学中是有用的,但我们不知道是否有任何应用于建立或确定数据。在实证应用中,这些模型对趋势分量产生了直观的结果,并且与以往发表的任何方法相比,指定相互作用分量的能力使人们对机构间空间动态有了更深入的了解。
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Localization and Industry Clustering Econometrics: An Assessment of Gibbs Models for Spatial Point Processes
The objective of this paper is to assess an approach to statistical modeling of point referenced establishment data that permit inclusion of “environmental” or establishment‐specific covariates and specific forms of interestablishment interaction. Gibbs models are used to decompose the conditional intensity of the spatial point process into trend and interaction components. The trend is composed of access measures (primarily different classes of roads) and three different interaction processes are tested: Geyer, area interaction, and Strauss hard core. While the models used have proved to be useful in ecology, we are unaware of any applications to establishment or firm data. In empirical application, the models yield intuitively appealing results for the trend component, and the ability to specify the interaction component gives deeper insights into interestablishment spatial dynamics than any previously published methods.
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