CEO compensation and bank efficiency: an application of conditional nonparametric frontiers

The paper investigates in a dynamic context the effect of Chief Executive Officer (CEO) bonus and salary payments on banks’ technical efficiency levels. Our methodological framework incorporates the latest developments on the probabilistic approach of efficiency measurement as introduced by Bădin et...

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Main Authors: Matousek, Roman, Tzeremes, Nickolaos G.
Format: Article
Published: Elsevier 2016
Subjects:
Online Access:https://eprints.nottingham.ac.uk/51645/
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author Matousek, Roman
Tzeremes, Nickolaos G.
author_facet Matousek, Roman
Tzeremes, Nickolaos G.
author_sort Matousek, Roman
building Nottingham Research Data Repository
collection Online Access
description The paper investigates in a dynamic context the effect of Chief Executive Officer (CEO) bonus and salary payments on banks’ technical efficiency levels. Our methodological framework incorporates the latest developments on the probabilistic approach of efficiency measurement as introduced by Bădin et al. (2012). We apply time-dependent conditional efficiency estimates to analyse a sample of 37 US banks for the period from 2003 to 2012. The empirical evidence reveals a non-linear relationship between CEO bonus and salary payments and banks’ efficiency levels. More specifically it is reported that salary and bonus payments affect differently banks’ technological change and technological catch-up levels. Finally, the empirical evidence suggests that higher salary and bonus payments are not always aligned with higher technical efficiency levels.
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spelling nottingham-516452020-05-04T17:51:44Z https://eprints.nottingham.ac.uk/51645/ CEO compensation and bank efficiency: an application of conditional nonparametric frontiers Matousek, Roman Tzeremes, Nickolaos G. The paper investigates in a dynamic context the effect of Chief Executive Officer (CEO) bonus and salary payments on banks’ technical efficiency levels. Our methodological framework incorporates the latest developments on the probabilistic approach of efficiency measurement as introduced by Bădin et al. (2012). We apply time-dependent conditional efficiency estimates to analyse a sample of 37 US banks for the period from 2003 to 2012. The empirical evidence reveals a non-linear relationship between CEO bonus and salary payments and banks’ efficiency levels. More specifically it is reported that salary and bonus payments affect differently banks’ technological change and technological catch-up levels. Finally, the empirical evidence suggests that higher salary and bonus payments are not always aligned with higher technical efficiency levels. Elsevier 2016-05-16 Article PeerReviewed Matousek, Roman and Tzeremes, Nickolaos G. (2016) CEO compensation and bank efficiency: an application of conditional nonparametric frontiers. European Journal of Operational Research, 251 (1). pp. 264-273. ISSN 0377-2217 Bank efficiency; CEO compensation; Conditional efficiency measures; Data envelopment analysis https://www.sciencedirect.com/science/article/pii/S0377221715009613 doi:10.1016/j.ejor.2015.10.035 doi:10.1016/j.ejor.2015.10.035
spellingShingle Bank efficiency; CEO compensation; Conditional efficiency measures; Data envelopment analysis
Matousek, Roman
Tzeremes, Nickolaos G.
CEO compensation and bank efficiency: an application of conditional nonparametric frontiers
title CEO compensation and bank efficiency: an application of conditional nonparametric frontiers
title_full CEO compensation and bank efficiency: an application of conditional nonparametric frontiers
title_fullStr CEO compensation and bank efficiency: an application of conditional nonparametric frontiers
title_full_unstemmed CEO compensation and bank efficiency: an application of conditional nonparametric frontiers
title_short CEO compensation and bank efficiency: an application of conditional nonparametric frontiers
title_sort ceo compensation and bank efficiency: an application of conditional nonparametric frontiers
topic Bank efficiency; CEO compensation; Conditional efficiency measures; Data envelopment analysis
url https://eprints.nottingham.ac.uk/51645/
https://eprints.nottingham.ac.uk/51645/
https://eprints.nottingham.ac.uk/51645/