On ranking and selection from independent truncated normal distributions

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22 Scopus citations

Abstract

This paper develops probability statements and ranking and selection rules for independent truncated normal populations. An application to a broad class of parametric stochastic frontier models is considered, where interest centers on making probability statements concerning unobserved firm-level technical inefficiency. In particular, probabilistic decision rules allow subsets of firms to be deemed relatively efficient or inefficient at prespecified probabilities. An empirical example is provided.

Original languageEnglish (US)
Pages (from-to)335-354
Number of pages20
JournalJournal of Econometrics
Volume126
Issue number2
DOIs
StatePublished - Jun 2005

Keywords

  • Ranking and selection
  • Stochastic frontier
  • Truncated normal

ASJC Scopus subject areas

  • Economics and Econometrics

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