Por favor, use este identificador para citar o enlazar este ítem: https://doi.org/10.1016/j.eswa.2018.12.041

Registro completo de metadatos
Campo DCValorLengua/Idioma
dc.contributor.authorCamacho, Maximo-
dc.contributor.authorLopez, Fernando-
dc.contributor.authorPaez, Antonio-
dc.contributor.authorRuiz, Manuel-
dc.contributor.otherFacultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU Métodos Cuantitativos para la Economía y la Empresaes
dc.date.accessioned2024-01-11T13:01:41Z-
dc.date.available2024-01-11T13:01:41Z-
dc.date.issued2019-05-15-
dc.identifier.citationExpert Systems with Applications; Volume 122, 15 May 2019, Pages 183-206es
dc.identifier.issn0957-4174-
dc.identifier.issn1873-6793-
dc.identifier.urihttp://hdl.handle.net/10201/137205-
dc.description© 2019. This document is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the submitted version of a published work that appeared in final form in Expert Systems with Applicationses
dc.description.abstractWe use a local projection approach to analyze the effect of economic recessions on income inequality in a comprehensive sample of 43 countries from 1960 to 2016. Although we consider both business-cycle and growth-cycle recessions, we fail to find evidence of significant positive impacts of economic downturns on income distribution, once controls are added to the model. However, we do find important differences across countries, which mainly depend on the degree of economic development.es
dc.formatapplication/pdfes
dc.format.extent52es
dc.languageenges
dc.publisherElsevieres
dc.relationECO2015-65758-P; ECO2015-65637-P; ECO2016-76178-P; 19884/GERM/15es
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDecision treeses
dc.subjectOblique partitionses
dc.subjectNon-linear partitionses
dc.subjectInteractive basis functionses
dc.subjectClassificationes
dc.subjectRegressiones
dc.subject.otherCDU::3 - Ciencias socialeses
dc.titleInducing Non-Orthogonal and Non-Linear Decision Boundaries in Decision Trees via Interactive Basis Functionses
dc.typeinfo:eu-repo/semantics/articlees
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0957417418308091?via%3Dihubes
dc.identifier.doihttps://doi.org/10.1016/j.eswa.2018.12.041-
Aparece en las colecciones:Artículos: Métodos Cuantitativos para la Economía y la Empresa

Ficheros en este ítem:
Fichero Descripción TamañoFormato 
Trees.pdf4,22 MBAdobe PDFVista previa
Visualizar/Abrir


Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons Creative Commons