Why do empirical tests tend to accept the NEG?- An alternative approach to the 'wage equation' in European regions

UDC.coleccionInvestigaciónes_ES
UDC.departamentoEconomíaes_ES
UDC.grupoInvGrupo Jean Monnet de Competitividade e Desenvolvemento (GCD)es_ES
dc.contributor.authorBruna, Fernando
dc.contributor.otherDepartamento de Análise Económica, Grupo C+Des_ES
dc.date.accessioned2015-10-19T12:47:51Z
dc.date.available2015-10-19T12:47:51Z
dc.date.issued2015-10
dc.description.abstract[Abstract]This paper posits a new approach to the ‘wage equation’ of the New Economic Geography (NEG) stressing the uncertain interpretation of its empirical results. It emphasizes the generality of the variable to be explained, marginal costs. Then, two artificial (no-NEG) tests are proposed in order to identify the statistical features explaining why wage-type equations tend to be accepted in tests for European data. The estimation results are shown to be similar not only when Market Potential is built for variables that do not measure market size but also when the focus of attention changes from global to local spatial patterns.es_ES
dc.identifier.issn1696-6376
dc.identifier.urihttp://hdl.handle.net/2183/15383
dc.language.isoenges_ES
dc.publisherAsociación Española de Economía y Finanzas Internacionales (AEEFI)es_ES
dc.relation.ispartofseriesDEFIes_ES
dc.relation.ispartofseries15-11es_ES
dc.relation.urihttps://ideas.repec.org/p/aee/wpaper/1511.htmles_ES
dc.rightsReconocimiento 4.0 Internacional
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectNew economic geographyes_ES
dc.subjectWage equationes_ES
dc.subjectMarket potentiales_ES
dc.subjectSpilloverses_ES
dc.subjectGlobal trendes_ES
dc.subjectSpatial autocorrelationes_ES
dc.titleWhy do empirical tests tend to accept the NEG?- An alternative approach to the 'wage equation' in European regionses_ES
dc.typeworking paperes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication25328845-1f26-44f4-bcf6-8ae20e737624
relation.isAuthorOfPublication.latestForDiscovery25328845-1f26-44f4-bcf6-8ae20e737624

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