Home > Research > Publications & Outputs > Notes on technical efficiency estimation with m...

Research

Associated organisational units

Electronic data

  • Note_REVISED 02

    Rights statement: This is the author’s version of a work that was accepted for publication in European Journal of Operational Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in European Journal of Oerational Research, 249, 2, 2016 DOI: 10.1016/j.ejor.2015.10.036

    Accepted author manuscript, 440 KB, PDF document

    Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

Links

Text available via DOI:

Keywords

View graph of relations

Notes on technical efficiency estimation with multiple inputs and outputs

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published
<mark>Journal publication date</mark>1/03/2016
<mark>Journal</mark>European Journal of Operational Research
Issue number2
Volume249
Number of pages5
Pages (from-to)784-788
Publication StatusPublished
Early online date30/10/15
<mark>Original language</mark>English

Abstract

Collier, Johnson and Ruggiero (2011) deal with the problem of estimating technical efficiency using regression analysis that allows multiple inputs and outputs. This revives an old problem in the analysis of production. In this note we provide an alternative maximum likelihood estimator that addresses the concerns. A Monte Carlo experiment shows that the technique works well in practice. A test for homotheticity, a critical assumption in Collier, Johnson and Ruggiero (2011) is constructed and its behavior is examined using Monte Carlo simulation and an empirical application to European banking.

Bibliographic note

This is the author’s version of a work that was accepted for publication in European Journal of Operational Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in European Journal of Oerational Research, 249, 2, 2016 DOI: 10.1016/j.ejor.2015.10.036