The case for the use of multiple imputation missing data methods in stochastic frontier analysis with illustration using English local highway data

Stead, AD orcid.org/0000-0002-7836-3827 and Wheat, P orcid.org/0000-0003-0659-5052 (2020) The case for the use of multiple imputation missing data methods in stochastic frontier analysis with illustration using English local highway data. European Journal of Operational Research, 280 (1). pp. 59-77. ISSN 0377-2217

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Published by Elsevier B.V. This is an author produced version of an article published in European Journal of Operational Research. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Production; stochastic frontier analysis; missing data; multiple imputation; efficiency analysis
Dates:
  • Published: 1 January 2020
  • Accepted: 20 June 2019
  • Published (online): 26 June 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Economics and Discrete Choice (Leeds)
Funding Information:
FunderGrant number
Highways AgencyNot Known
Measure2ImproveNot Known
Measure2ImproveM2I
Depositing User: Symplectic Publications
Date Deposited: 25 Jun 2019 13:35
Last Modified: 26 Jun 2021 00:38
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.ejor.2019.06.042

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