Transconcave data envelopment analysis

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Transconcave data envelopment analysis (TDEA) extends standard data envelopment analysis (DEA), in order to account for non-convex production technologies, such as those involving increasing returns-to-scale or diseconomies of scope. TDEA introduces non-convexities by transforming the range and the domain of the production frontier, thus replacing the standard assumption that the production frontier is concave with the more general assumption that the frontier is concave transformable. TDEA gives statistically consistent estimates for all monotonically increasing and concave transformable frontiers. In addition, Monte Carlo simulations suggest that TDEA can substantially improve inefficiency estimation in small samples compared to the standard Banker, Charnes and Cooper model and the full disposable hull model (FDH).

Original languageEnglish
Pages (from-to)374-389
Number of pages16
JournalEuropean Journal of Operational Research
Volume132
Issue number2
DOIs
Publication statusPublished - Jul 16 2001
Externally publishedYes

Fingerprint

Data envelopment analysis
Data Envelopment Analysis
data analysis
Returns to Scale
Non-convexity
Consistent Estimates
Small Sample
Monte Carlo Simulation
simulation
Model
Range of data
Standards

Keywords

  • Concave transformability
  • Data envelopment analysis
  • Performance evaluation

ASJC Scopus subject areas

  • Information Systems and Management
  • Management Science and Operations Research
  • Statistics, Probability and Uncertainty
  • Applied Mathematics
  • Modelling and Simulation
  • Transportation

Cite this

Transconcave data envelopment analysis. / Post, Thierry.

In: European Journal of Operational Research, Vol. 132, No. 2, 16.07.2001, p. 374-389.

Research output: Contribution to journalArticle

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