Confidence statements for efficiency estimates from stochastic frontier models

William C. Horrace, Peter Schmidt

Research output: Contribution to journalArticlepeer-review

144 Scopus citations


This paper is an empirical study of the uncertainty associated with technical efficiency estimates from stochastic frontier models. We show how to construct confidence intervals for estimates of technical efficiency levels under different sets of assumptions ranging from the very strong to the relatively weak. We demonstrate empirically how the degree of uncertainty associated with these estimates relates to the strength of the assumptions made and to various features of the data.

Original languageEnglish (US)
Pages (from-to)257-282
Number of pages26
JournalJournal of Productivity Analysis
Issue number2-3
StatePublished - Jul 1996
Externally publishedYes


  • Confidence intervals
  • Efficiency measurement
  • Stochastic frontier models

ASJC Scopus subject areas

  • Business and International Management
  • Social Sciences (miscellaneous)
  • Economics and Econometrics


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