Enhancing the inclusion of non-discretionary inputs in DEA / J. M. Cordero-Ferrera in Journal of the operational research society (JORS), Vol. 61 N° 4 (Avril 2010)  

Public ISBD [article]  inJournal of the operational research society (JORS) > Vol. 61 N° 4 (Avril 2010) . - pp. 574–584 Titre : Enhancing the inclusion of non-discretionary inputs in DEA Type de document : texte imprimé Auteurs : J. M. Cordero-Ferrera, Auteur ; F. Pedraja-Chaparro, Auteur ; D. Santín-González, Auteur Année de publication : 2010 Article en page(s) : pp. 574–584 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Data envelopment analysis Bootstrap Education Index. décimale : 001.424 Résumé : The aim of this paper is to provide an alternative approach for estimating efficiency when a set of decision-making units uses non-discretionary inputs in the productive process. To test the influence of these variables, our proposal uses a multi-stage approach based on Tobit regressions. In order to avoid potential bias, a bootstrap procedure is used to estimate these regressions. This methodology allows enhancing other models previously proposed to introduce non-controllable inputs in data envelopment analysis (DEA) overcoming, thus, some of their main shortcomings. We illustrate our framework with an empirical application on Spanish high schools where non-controllable factors play a major role to explain educational achievements. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n4/abs/jors2008189a.html [article] Enhancing the inclusion of non-discretionary inputs in DEA [texte imprimé] / J. M. Cordero-Ferrera, Auteur ; F. Pedraja-Chaparro, Auteur ; D. Santín-González, Auteur . - 2010 . - pp. 574–584. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 61 N° 4 (Avril 2010) . - pp. 574–584 Mots-clés : Data envelopment analysis Bootstrap Education Index. décimale : 001.424 Résumé : The aim of this paper is to provide an alternative approach for estimating efficiency when a set of decision-making units uses non-discretionary inputs in the productive process. To test the influence of these variables, our proposal uses a multi-stage approach based on Tobit regressions. In order to avoid potential bias, a bootstrap procedure is used to estimate these regressions. This methodology allows enhancing other models previously proposed to introduce non-controllable inputs in data envelopment analysis (DEA) overcoming, thus, some of their main shortcomings. We illustrate our framework with an empirical application on Spanish high schools where non-controllable factors play a major role to explain educational achievements. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n4/abs/jors2008189a.html

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