| Titre : | Enhancing the inclusion of non-discretionary inputs in DEA (2010) |
| Auteurs : | J. M. Cordero-Ferrera, Auteur ; F. Pedraja-Chaparro, Auteur ; D. Santín-González, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Journal of the operational research society (JORS) (Vol. 61 N° 4, Avril 2010) |
| Article en page(s) : | pp. 574–584 |
| Note générale : | Recherche opérationnelle |
| Langues : | Anglais |
| Index. décimale : | 001.424 |
| Tags : | Data envelopment analysis Bootstrap Education |
| 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 |
