A comparative analysis of multi-output frontier models

Tao Zhang, Eoghan Garvey

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


Recently, there have been more debates on the methods of measuring efficiency. The main objective of this paper is to make a sensitivity analysis for different frontier models and compare the results obtained from the different methods of estimating multi-output frontier for a specific application. The methods include stochastic distance function frontier, stochastic ray frontier, and data envelopment analysis. The stochastic frontier regressions with and without the inefficiency effects model are also compared and tested. The results indicate that there are significant correlations between the results obtained from the alternative estimation methods.

Original languageEnglish
Pages (from-to)1426-1436
Number of pages11
JournalJournal of Zhejiang University: Science A
Issue number10
Publication statusPublished - Oct 2008
Externally publishedYes


  • Correlation
  • Data envelopment analysis (DEA)
  • Efficiency
  • Multi-output
  • Stochastic distance function frontier
  • Stochastic ray frontier


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