Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/38282
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dc.contributor.authorAparicio Baeza, Juan-
dc.contributor.authorOrtiz Henarejos, Lidia-
dc.contributor.authorSantín González, Daniel-
dc.contributor.otherDepartamentos de la UMH::Estadística, Matemáticas e Informáticaes_ES
dc.date.accessioned2025-11-18T11:53:54Z-
dc.date.available2025-11-18T11:53:54Z-
dc.date.created2021-
dc.identifier.citationEuropean Journal of Operational Research (EJOR)es_ES
dc.identifier.issn1872-6860-
dc.identifier.issn0377-2217-
dc.identifier.urihttps://hdl.handle.net/11000/38282-
dc.description.abstractThis paper extends the Camanho and Dyson (2006) one-period Malmquist-type index (CDMI) and the recent pseudo-panel Malmquist index (PPMI) by Aparicio et al. (2017) and Aparicio and Santín (2018) to a context where additive efficiency measures are used. In particular, we apply the Luenberger productivity indicator. Unlike the CDMI, the new approach is based upon the directional distance function, allowing non-equiproportional changes in the input and output mix and variable returns to scale for comparing the efficiency and technology gaps of two or more groups of production units over time. To illustrate this methodology, we estimate how the productivity gaps between publicly funded private schools (PFPS) and public schools (PS) in eight European Union countries changed over the 2009–15 period using PISA data. Our results suggest that the performance of PFPS is better in Belgium, Ireland, the Netherlands and Spain in both waves, while PS productivity outperforms PFPS in the Czech Republic, Hungary and Slovakia. Both school types operate with a productivity gap close to zero in Denmark. In addition, we observe that despite being less efficient, PS are more productive than PFPS, thanks to their better production technology. Finally, we find that school autonomy is positively related to school productivity explaining why PFPS present higher productivity than PS in some countries.es_ES
dc.formatapplication/pdfes_ES
dc.format.extent22es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.ispartofseriesVol. 294es_ES
dc.relation.ispartofseriesnº 2es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDEAes_ES
dc.subjectgroup performancees_ES
dc.subjectdirectional distance functiones_ES
dc.subjectLuenberger productivity indicatores_ES
dc.subjectschool ownershipes_ES
dc.subject.otherCDU::5 - Ciencias puras y naturales::51 - Matemáticases_ES
dc.subject.otherCDU::5 - Ciencias puras y naturales::51 - Matemáticas::517 - Análisises_ES
dc.subject.otherCDU::3 - Ciencias sociales::31 - Demografía. Sociología. Estadística::311 - Estadísticaes_ES
dc.titleComparing group performance over time through the Luenberger productivity indicator: An application to school ownership in European countrieses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.ejor.2021.02.005es_ES
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Artículos - Estadística, Matemáticas e Informática


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