Non-parametric tests of returns to scale |
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| Affiliation: | 1. Institut de Statistique, Biostatistique et Sciences Actuarielles, Université Catholique de Louvain, Voie du Roman Pays 20, B1348 Louvain-la-Neuve, Belgium;2. School of Economics and Centre for Efficiency and Productivity Analysis (CEPA), University of Queensland, Colin Clark Building (39), St Lucia, Brisbane, Qld 4072, Australia;1. Department of Mathematics and Engineering, Universidad Loyola Andalucia;2. Department of Mathematics and Engineering, Universidad Loyola Andalucia, Escritor Castilla Aguayo, 4. 14004 Córdoba, Spainn;3. Brain and Mind Research Institute, and Centre for Disability Research and PolicyFaculty of Health Sciences, University of Sydney, Sydney, Australia;4. Department of Business Organization, Universidad Loyola Andalucian |
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| Abstract: | This paper discusses various statistics for testing hypotheses regarding returns to scale in the context of non-parametric models of technical efficiency. In addition, the paper presents bootstrap estimation procedures which yield appropriate critical values for the test statistics. Evidence on the true sizes and power of the various proposed tests is obtained from Monte-Carlo experiments. This paper is an extension of earlier work in [Manage. Sci. 44 (1998) 49; J. Appl. Statist. 27 (2000b) 779]. |
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