Título : Gradient tree boosting and the estimation of production frontiers |
Autor : Guillén García, María Dolores Aparicio Baeza, Juan Esteve, Miriam |
Editor : Elsevier |
Departamento: Departamentos de la UMH::Estadística, Matemáticas e Informática |
Fecha de publicación: 2023 |
URI : https://hdl.handle.net/11000/39748 |
Resumen :
In production theory and engineering, a topic of interest is the determination of technical efficiency of firms from the estimation of a technology. By definition, a technology must satisfy a set of micro-economic postulates. Likewise, a valid estimator of a technology should meet the same set of axioms. In this paper, for the first time, we adapt the Gradient Tree Boosting algorithm with the objective of estimating production technologies, satisfying the required theoretical conditions. The new approach shares similarities with the standard Free Disposal Hull (FDH) methodology, but with the advantage that it avoids the typical problem of overfitting. Finally, the performance of the new approach based on boosting is measured through a computational experience, determining that the technique based upon boosting decreases the mean squared error by more than 35% with respect to FDH.
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Palabras clave/Materias: data envelopment analysis Free Disposal Hull boosting technical efficiency |
Área de conocimiento : CDU: Ciencias puras y naturales: Matemáticas CDU: Ciencias sociales: Demografía. Sociología. Estadística: Estadística CDU: Ciencias sociales: Economía CDU: Generalidades.: Ciencia y tecnología de los ordenadores. Informática. |
Tipo de documento : info:eu-repo/semantics/article |
Derechos de acceso: info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
DOI : https://doi.org/10.1016/j.eswa.2022.119134 |
Publicado en: Expert Systems with Applications |
Aparece en las colecciones: Artículos - Estadística, Matemáticas e Informática
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