Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/32667

Title: Management in production: from unobserved to observed
Authors: Triebs, Thomas P.
Kumbhakar, Subal C.
Keywords: Management practice
Production functions
Stochastic frontier analysis
Semiparametric models
Issue Date: 2018
Publisher: © The Authors. Published by Springer Verlag
Citation: TRIEBS, T.P. and KUMBHAKER, S.C., 2018. Management in production: from unobserved to observed. Journal of Productivity Analysis, 49(2–3), pp 111–121.
Abstract: Are productivity estimates good proxies for unobserved management? And, does management affect production in a neutral and monotonic fashion as assumed by these proxies? We use Bloom and Van Reenen’s management data to show that two popular proxies, fixed effects and inefficiency scores, correlate with observed management practices. We find that the correlations are positive but weak. Also, management explains only a fraction of the proxies’ variances. The data rejects the assumptions of neutrality and monotonicity. Last, our results suggest that management has characteristics both of a technology and an input.
Description: This is an Open Access Article. It is published by Springer under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/
Version: Published
DOI: 10.1007/s11123-018-0526-x
URI: https://dspace.lboro.ac.uk/2134/32667
Publisher Link: https://doi.org/10.1007/s11123-018-0526-x
ISSN: 0895-562X
Appears in Collections:Published Articles (Economics)

Files associated with this item:

File Description SizeFormat
Triebs_et_al-2018-Journal_of_Productivity_Analysis.pdfPublished version1.28 MBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.