Confidence Statements for Efficiency Estimates from Stochastic Frontier Models

William Horrace and Peter Schmidt

Econometrics from University Library of Munich, Germany

Abstract: This paper is an empirical study of the uncertainty associated with 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.

Keywords: Confidence intervals; stochastic frontier models; efficiency measurement (search for similar items in EconPapers)
JEL-codes: C13 (search for similar items in EconPapers)
Pages: 42 pages
Date: 2002-06-20
New Economics Papers: this item is included in nep-ecm and nep-eff
Note: Type of Document - Acrobat PDF; prepared on IBM PC; to print on HP; pages: 42; figures: Included. None
References: Add references at CitEc
Citations: View citations in EconPapers (51)

Downloads: (external link)
https://econwpa.ub.uni-muenchen.de/econ-wp/em/papers/0206/0206006.pdf (application/pdf)

Related works:
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:wpa:wuwpem:0206006

Access Statistics for this paper

More papers in Econometrics from University Library of Munich, Germany
Bibliographic data for series maintained by EconWPA ().