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Dynamic Distributions of Productivity Growth in European Railways

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  • John Loizides
  • Efthymios G. Tsionas

Abstract

This paper derives the exact distribution of productivity growth, using Monte Carlo simulation methods, and explores in detail how the productivity growth distribution shifts as a result of changes in input prices and output. In an empirical application to the cost structure of ten European railways, for about half the decision-making units in the sample, prices and output have not caused median productivity growth but other characteristics of the distribution. This casts some doubt on traditional approaches that simply focus on examining average productivity growth. © The London School of Economics and the University of Bath 2004

Suggested Citation

  • John Loizides & Efthymios G. Tsionas, 2004. "Dynamic Distributions of Productivity Growth in European Railways," Journal of Transport Economics and Policy, University of Bath, vol. 38(1), pages 45-75, January.
  • Handle: RePEc:tpe:jtecpo:v:38:y:2004:i:1:p:45-75
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    Cited by:

    1. Subal Kumbhakar & Luis Orea & Ana Rodríguez-Álvarez & Efthymios Tsionas, 2007. "Do we estimate an input or an output distance function? An application of the mixture approach to European railways," Journal of Productivity Analysis, Springer, vol. 27(2), pages 87-100, April.
    2. Heike Wetzel, 2008. "Productivity Growth in European Railways: Technological Progress,Efficiency Change and Scale Effects," Working Paper Series in Economics 101, University of Lüneburg, Institute of Economics.
    3. Tsionas, Efthymios G. & Baltas, Nicholas C. & Chionis, Dionysios P., 2011. "Rail infrastructure charging in Hellenic railways," Journal of Policy Modeling, Elsevier, vol. 33(3), pages 370-380, May.
    4. Ali Kabasakal & Aziz Kutlar & Murat Sarikaya, 2015. "Efficiency determinations of the worldwide railway companies via DEA and contributions of the outputs to the efficiency and TFP by panel regression," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 69-88, March.

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