Measuring productivity and efficiency: a Kalman filter approach

In the Kalman filter setting, one can model the inefficiency term of the standard stochastic frontier composed error as an unobserved state. In this study a panel data version of the local level model is used for estimating time-varying efficiencies of firms. We apply the Kalman filter to estimate a...

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Main Authors: Duygun, Meryem, Kutlu, Levent, Sickles, Robin
Format: Article
Published: Springer 2016
Subjects:
Online Access:https://eprints.nottingham.ac.uk/41338/
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author Duygun, Meryem
Kutlu, Levent
Sickles, Robin
author_facet Duygun, Meryem
Kutlu, Levent
Sickles, Robin
author_sort Duygun, Meryem
building Nottingham Research Data Repository
collection Online Access
description In the Kalman filter setting, one can model the inefficiency term of the standard stochastic frontier composed error as an unobserved state. In this study a panel data version of the local level model is used for estimating time-varying efficiencies of firms. We apply the Kalman filter to estimate average efficiencies of U.S. airlines and find that the technical efficiency of these carriers did not improve during the period 1999-2009. During this period the industry incurred substantial losses, and the efficiency gains from reorganized networks, code-sharing arrangements, and other best business practices apparently had already been realized.
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spelling nottingham-413382020-05-04T18:26:55Z https://eprints.nottingham.ac.uk/41338/ Measuring productivity and efficiency: a Kalman filter approach Duygun, Meryem Kutlu, Levent Sickles, Robin In the Kalman filter setting, one can model the inefficiency term of the standard stochastic frontier composed error as an unobserved state. In this study a panel data version of the local level model is used for estimating time-varying efficiencies of firms. We apply the Kalman filter to estimate average efficiencies of U.S. airlines and find that the technical efficiency of these carriers did not improve during the period 1999-2009. During this period the industry incurred substantial losses, and the efficiency gains from reorganized networks, code-sharing arrangements, and other best business practices apparently had already been realized. Springer 2016-12-08 Article PeerReviewed Duygun, Meryem, Kutlu, Levent and Sickles, Robin (2016) Measuring productivity and efficiency: a Kalman filter approach. Journal of Productivity Analysis, 46 (2). pp. 155-167. ISSN 1573-0441 Kalman filter Panel data Airline productivity https://link.springer.com/article/10.1007%2Fs11123-016-0477-z doi:10.1007/s11123-016-0477-z doi:10.1007/s11123-016-0477-z
spellingShingle Kalman filter
Panel data
Airline productivity
Duygun, Meryem
Kutlu, Levent
Sickles, Robin
Measuring productivity and efficiency: a Kalman filter approach
title Measuring productivity and efficiency: a Kalman filter approach
title_full Measuring productivity and efficiency: a Kalman filter approach
title_fullStr Measuring productivity and efficiency: a Kalman filter approach
title_full_unstemmed Measuring productivity and efficiency: a Kalman filter approach
title_short Measuring productivity and efficiency: a Kalman filter approach
title_sort measuring productivity and efficiency: a kalman filter approach
topic Kalman filter
Panel data
Airline productivity
url https://eprints.nottingham.ac.uk/41338/
https://eprints.nottingham.ac.uk/41338/
https://eprints.nottingham.ac.uk/41338/