Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/28219
Authors: 
Year of Publication: 
2008
Series/Report no.: 
Working Paper Series in Economics No. 101
Publisher: 
Leuphana Universität Lüneburg, Institut für Volkswirtschaftslehre, Lüneburg
Abstract: 
This paper analyzes the performance of the European railway sector in the period of deregulation (1990-2005). Using a stochastic frontier panel data model that controls for unobserved heterogeneity a multiple-output multipleinput distance function model is estimated in order to evaluate the sources of productivity growth: technological progress, technical efficiency change and scale effects. The results indicate that technology improvements were by far the most important driver of productivity growth, followed by gains in technical efficiency, and to a lesser extent by exploitation of scale economies. Overall, we find an average productivity growth of 39 per cent within the sample period.
Subjects: 
European railways
deregulation
stochastic frontier analysis
total factor productivity
JEL: 
D24
L51
L92
Document Type: 
Working Paper

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