On Estimating Optimal a-Returns to Scale
Jean-Philippe Boussemart,
Walter Briec,
Hervé Leleu and
Paola Ravelojaona
Additional contact information
Walter Briec: University of Perpignan
Paola Ravelojaona: University of Perpignan
No 2016-EQM-01, Working Papers from IESEG School of Management
Abstract:
From a theoretical point of view, a-returns to scale is a relevant alternative to traditional Data Envelopment Analysis models for estimating production technologies under global returns to scale assumptions such as strictly increasing or strictly decreasing returns to scale. However, from a methodological and empirical point of view, the estimation of a remains a question that must be answered. This paper proposes an effective methodology to estimate an optimal value of a based upon a goodness-of-fit strategy. A global method using a grid-search is presented first. In addition, for generalized Free Disposal Hull technologies, a minimum extrapolation principle is developed to estimate directly the optimal a-returns from a linear program. This study examined 63 US industries over the period 1987-2012 to demonstrate the relevancy of our approach.
Keywords: a-Returns to Scale; Data Envelopment Analysis; Increasing Returns (search for similar items in EconPapers)
JEL-codes: D24 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2016-02
New Economics Papers: this item is included in nep-eff
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.ieseg.fr/wp-content/uploads/2012/03/2016-EQM-01_Leleu.pdf (application/pdf)
Related works:
Journal Article: On estimating optimal α-returns to scale (2019) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ies:wpaper:e201601
Access Statistics for this paper
More papers in Working Papers from IESEG School of Management Contact information at EDIRC.
Bibliographic data for series maintained by Lies BOUTEN ().