Gradient tree boosting and the estimation of production frontiers. (15th March 2023)

• Record Type: Journal Article
• Authors: Guillen, Maria D.; Aparicio, Juan; Esteve, Miriam
• Is Part Of: Expert systems with applications. Volume 214(2023)
• Publication Date: 2023-03-15
• Subjects: Data envelopment analysis -- Free Disposal Hull -- Boosting -- Technical efficiency; Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2022.119134
• Languages: English
• ISSNs: 0957-4174

Abstract

Abstract: 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.