Testing Spatial Causality in Cross-section Data

Marcos Herrera Gómez, Manuel Ruiz Marin and Jesus Mur
Authors registered in the RePEc Author Service: Marcos Herrera Gómez

MPRA Paper from University Library of Munich, Germany

Abstract: The paper shows a new non-parametric test, based on symbolic entropy, which permits detect spatial causality in cross-section data. The test is robust to the functional form of the relation and has a good behaviour in samples of medium to large size. We illustrate the use of test with the case of relationship between migration and unemployment, using data on 3,108 U.S. counties for the period 2003-2008.

Keywords: Spatial Econometrics; Causality; Non-parametric method (search for similar items in EconPapers)
JEL-codes: C01 C21 C46 (search for similar items in EconPapers)
Date: 2014
New Economics Papers: this item is included in nep-ecm and nep-geo
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:56678

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