Detecting causal relationships between spatial processes
Detecting causal relationships between spatial processes
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DOI：
10.1111/pirs.12144
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发表时间：
2016-08-01
影响因子：
2.1
通讯作者：
Ruiz, Manuel
中科院分区：
文献类型：
--
作者：
Herrera, Marcos;Mur, Jesus;Ruiz, Manuel
本文主要研究在一组变量中检验因果关系的存在性和方向性的问题。我们的目标是在理性和客观的基础上提出有用的标准来讨论因果关系。我们介绍了一种新的非参数检验，基于符号熵，这是强大的关系的函数形式。该测试在中等至大尺寸的样品中具有良好的性能。该建议是说明与应用程序的情况下，移民与失业，使用的数据在3,108美国县2003-2008年。
The paper focuses on the problem of testing for the existence and direction of causality in a group of variables, with a spatial framework. Our objective is to produce useful criteria to discuss causality on rational and objective bases. We introduce a new non-parametric test, based on symbolic entropy, which is robust to the functional form of the relation. The test has good behaviour in samples of medium to large size. The proposal is illustrated with an application to the case of migration versus unemployment, using data on 3,108 US counties for the period 2003-2008.