Semiparametric stochastic metafrontier efficiency of European manufacturing firms

Marijn Verschelde 1 Michel Dumont 2 Glenn Rayp 3 Bruno Merlevede
1 LEM - Lille - Economie et Management
2 Federal Planning Bureau Government of Belgium
3 Department of Economics and SHERPPA
Abstract : In this paper a semiparametric stochastic metafrontier approach is used to obtain insight into the performance of manufacturing firms in Europe. We differ from standard TFP studies at the firm level as we simultaneously allow for inefficiency , noise and do not impose a functional form on the input–output relation. Using AMADEUS firm-level data covering ten manufacturing sectors from seven EU15 countries, (1) we document substantial and persistent differences in performance (with Belgium and Germany as benchmark countries and Spain lagging behind) and a wide technology gap, (2) we confirm the absence of convergence in TFP between the seven selected countries, (3) we highlight a more pronounced technology gap for smaller firms.
Keywords : Productive efficiency Metafrontier estimation Semiparametric frontier Kernel estimation Stochastic frontier Manufacturing
Type de document :
Article dans une revue
Journal of Productivity Analysis, Springer Verlag, 2015, 45 (1), pp.53--69. 〈10.1007/s11123-015-0458-7〉
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https://hal.archives-ouvertes.fr/hal-01563023
Contributeur : Romain Boisselet <>
Soumis le : lundi 17 juillet 2017 - 11:32:31
Dernière modification le : mardi 3 juillet 2018 - 11:38:47

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Marijn Verschelde, Michel Dumont, Glenn Rayp, Bruno Merlevede. Semiparametric stochastic metafrontier efficiency of European manufacturing firms. Journal of Productivity Analysis, Springer Verlag, 2015, 45 (1), pp.53--69. 〈10.1007/s11123-015-0458-7〉. 〈hal-01563023〉

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