Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/4937
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dc.contributor.authorAparicio, Juan-
dc.contributor.authorCrespo Cebada, Eva-
dc.contributor.authorPedraja Chaparro, Francisco-
dc.contributor.authorSantín, Daniel-
dc.contributor.otherDepartamentos de la UMH::Estadística, Matemáticas e Informáticaes
dc.date.accessioned2018-12-14T09:37:21Z-
dc.date.available2018-12-14T09:37:21Z-
dc.date.created2016-06-16-
dc.date.issued2018-12-14-
dc.identifier.issn0377-2217-
dc.identifier.urihttp://hdl.handle.net/11000/4937-
dc.description.abstractIn this paper, we propose a different way of using the Malmquist index that allows us to further an- alyze the relative performance divergences between two groups of decision-making units (DMUs) over time when only a pseudo-panel database is available. To do this, we extend the Camanho and Dyson (2006) one-period Malmquist-type index (CDMI) for a pseudo-panel database with a new pseudo-panel Malmquist index (PPMI). To illustrate the methodology, we apply it to examine how the performance gap between public and private government-dependent secondary schools in the Basque Country (Spain) performed across three PISA waves (20 06, 20 09 and 2012). The results suggest that performance is per- sistently and significantly higher for private government-dependent schools than for public schoolses
dc.description.sponsorshipEva Crespo-Cebada, Francisco Pedraja-Chaparro and Daniel Santín acknowledges the financial support of the Spanish Ministry of Economy and Competitiveness (ECO2014-53072-P).-
dc.description.sponsorshipJuan Aparicio is grateful to the same institution for sup- porting this research through grant MTM2013-43903-P.-
dc.formatapplication/pdfes
dc.format.extent10es
dc.language.isoenges
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.subjectData envelopment analysises
dc.subject.other517 - Análisis matemáticoes
dc.titleComparing school ownership performance using a pseudo-panel database: A Malmquist-type index approaches
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1016/j.ejor.2016.06.030-
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.ejor.2016.06.030-
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Artículos Estadística, Matemáticas e Informática


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