Testing Spatial Causality in Cross-section Data

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.

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Year of publication:	2014
Authors:	Herrera Gómez, Marcos ; Ruiz Marín, Manuel ; Mur Lacambra, Jesús
Institutions:	Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München
Subject:	Spatial Econometrics \| Causality \| Non-parametric method

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Extent:	application/pdf
Series:	MPRA Paper.
Type of publication:	Book / Working Paper
Classification:	C01 - Econometrics ; C21 - Cross-Sectional Models; Spatial Models ; c46
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011108455