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  • PAPER CHINESE AIRLINESv5 - revised %282%29 reviewed version

    Rights statement: This is the author’s version of a work that was accepted for publication in Transportation Research Part A: Policy and Practice. 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 Transportation Research Part A: Policy and Practice, 101, 2017 DOI: 10.1016/j.tra.2017.05.003

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A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines

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

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A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines. / Tsionas, Mike G.; Chen, Zhongfei; Wanke, Peter.
In: Transportation Research Part A: Policy and Practice, Vol. 101, 07.2017, p. 1-10.

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

Harvard

Tsionas, MG, Chen, Z & Wanke, P 2017, 'A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines', Transportation Research Part A: Policy and Practice, vol. 101, pp. 1-10. https://doi.org/10.1016/j.tra.2017.05.003

APA

Tsionas, M. G., Chen, Z., & Wanke, P. (2017). A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines. Transportation Research Part A: Policy and Practice, 101, 1-10. https://doi.org/10.1016/j.tra.2017.05.003

Vancouver

Tsionas MG, Chen Z, Wanke P. A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines. Transportation Research Part A: Policy and Practice. 2017 Jul;101:1-10. Epub 2017 May 10. doi: 10.1016/j.tra.2017.05.003

Author

Tsionas, Mike G. ; Chen, Zhongfei ; Wanke, Peter. / A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines. In: Transportation Research Part A: Policy and Practice. 2017 ; Vol. 101. pp. 1-10.

Bibtex

@article{49d67a6b5624425ab1f8a5a781049958,
title = "A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines",
abstract = "Abstract This study reports on the performance assessment of Chinese airlines from 2006 to 2014 using a stochastic distance function where technical efficiency and a measure of flight delays follow a joint structural autoregressive process. This model is used to investigate whether technical efficiency causes flight punctuality or the other way around. The model, however, yields a non-trivial likelihood function and is not amenable to estimation using least squares or standard maximum likelihood techniques. To estimate the model therefore, we propose and implement maximum simulated likelihood with importance sampling. The results suggest a mutual dependence (feedback) between technical efficiency and delays. Policy implications are derived.",
keywords = "Stochastic distance function, SVAR, China, Airlines, Technical efficiency, Delays",
author = "Tsionas, {Mike G.} and Zhongfei Chen and Peter Wanke",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Transportation Research Part A: Policy and Practice. 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 Transportation Research Part A: Policy and Practice, 101, 2017 DOI: 10.1016/j.tra.2017.05.003",
year = "2017",
month = jul,
doi = "10.1016/j.tra.2017.05.003",
language = "English",
volume = "101",
pages = "1--10",
journal = "Transportation Research Part A: Policy and Practice",
issn = "0965-8564",
publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines

AU - Tsionas, Mike G.

AU - Chen, Zhongfei

AU - Wanke, Peter

N1 - This is the author’s version of a work that was accepted for publication in Transportation Research Part A: Policy and Practice. 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 Transportation Research Part A: Policy and Practice, 101, 2017 DOI: 10.1016/j.tra.2017.05.003

PY - 2017/7

Y1 - 2017/7

N2 - Abstract This study reports on the performance assessment of Chinese airlines from 2006 to 2014 using a stochastic distance function where technical efficiency and a measure of flight delays follow a joint structural autoregressive process. This model is used to investigate whether technical efficiency causes flight punctuality or the other way around. The model, however, yields a non-trivial likelihood function and is not amenable to estimation using least squares or standard maximum likelihood techniques. To estimate the model therefore, we propose and implement maximum simulated likelihood with importance sampling. The results suggest a mutual dependence (feedback) between technical efficiency and delays. Policy implications are derived.

AB - Abstract This study reports on the performance assessment of Chinese airlines from 2006 to 2014 using a stochastic distance function where technical efficiency and a measure of flight delays follow a joint structural autoregressive process. This model is used to investigate whether technical efficiency causes flight punctuality or the other way around. The model, however, yields a non-trivial likelihood function and is not amenable to estimation using least squares or standard maximum likelihood techniques. To estimate the model therefore, we propose and implement maximum simulated likelihood with importance sampling. The results suggest a mutual dependence (feedback) between technical efficiency and delays. Policy implications are derived.

KW - Stochastic distance function

KW - SVAR

KW - China

KW - Airlines

KW - Technical efficiency

KW - Delays

U2 - 10.1016/j.tra.2017.05.003

DO - 10.1016/j.tra.2017.05.003

M3 - Journal article

VL - 101

SP - 1

EP - 10

JO - Transportation Research Part A: Policy and Practice

JF - Transportation Research Part A: Policy and Practice

SN - 0965-8564

ER -