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dc.contributor.authorLópez Hernández, Fernando Antonio 
dc.contributor.authorArtal Tur, Andrés 
dc.contributor.authorMate Sánchez-Val, María Luz 
dc.date.accessioned2015-11-19T12:32:36Z
dc.date.available2015-11-19T12:32:36Z
dc.date.issued2012
dc.identifier.citationHernández, F. A. L., Tur, A. A., & de Val, M. L. M. S. (2011). Identifying nonlinear spatial dependence patterns by using non-parametric tests: Evidence for the European Union. Investigaciones regionales, (21), 19-36.es_ES
dc.description.abstractAccounting for spatial structures in econometric studies is becoming an issue of special interest, given the presence of spatial dependence and spatial heterogeneity problems arising in data. Generally, researchers have been employing parametric tests for detecting spatial dependence structures: Moran’s I and LM tests in spatial regressions are the most popular approaches employed in literature.However, this approach remains misleading in the presence of nonlinear spatial structures, inducing important biases in the estimation of the parameters of the model. In this paper we illustrate that issue by applying three non-parametrical proposals when testing for spatial structure in data. Empirical findings for the regions of the European Union show important failures of traditional parametric tests if nonlinearities characterise geo-referenced data. Our results clearly recommend employing new families of tests, beyond parametrical ones, when working in such environments.es_ES
dc.description.sponsorshipThis work has been carried out with the financial support of project 1897/PHCS/09 of the Fundación Séneca ‘Agencia de Ciencia y Tecnología de la Región de Murcia’. F.A. López and M.L. Maté acknowledges financial support from project ECO2009-10534/ECON of the Ministerio de Ciencia y Tecnología of the Reino de España; A.Artal-Tur acknowledges financial support from the FEMISE Association (Project FEM 34-01), the Spanish Ministry of Science and Innovation (ECO 2008-04059/ECON and ECO2011-27169)es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherInvestigaciones Regionaleses_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.title.alternativeIdentificando estructuras espaciales no lineales utilizando test no paramétricos: Evidencias para las Regiones Europeases_ES
dc.titleIdentifying nonlinear spatial dependence patterns by using non-parametric tests: Evidence for the European Uniones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.subject.otherEconomía Financiera y Contabilidades_ES
dc.subjectEconometríaes_ES
dc.subjectEconometricses_ES
dc.subjectMediciónes_ES
dc.subjectMeasurementes_ES
dc.identifier.urihttp://hdl.handle.net/10317/5135
dc.peerreviewes_ES
dc.contributor.investgroupDepartamento de economía financiera y contabilidades_ES
dc.contributor.coordinadorGarcía-Pérez-de-Lema, Domingo
dc.identifier.urlhttp://www.aecr.org/images/ImatgesArticles/2012/3/03_LOPEZ.pdf
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.relation.projectIDECO2011-29080es_ES


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