On the generation of a regular multi-input multi-output technology using parametric output dis-tance functions

• Autores: Sergio Perelman, Daniel Santín González
• Localización: Notas técnicas: [continuación de Documentos de Trabajo FUNCAS], ISSN-e 1988-8767, Nº. 217, 2005
• Idioma: español
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• Resumen

  • Monte-Carlo experimentation is a well-known approach to test the performance of alternative methodologies under different hypothesis. In the frontier analysis framework, whatever parametric or non-parametric methods tested, most experiments have been developed up to now assuming single output multi-input production functions and data generated using a CobbDouglas technology. The aim of this paper is to show how reliable multi-output multi-input production data can be generated using a parametric output distance function approach. A flexible translog technology is used for this purpose that satisfies regularity conditions. Two meaningful outcomes of this analysis are the identification of a valid range of parameters values satisfying monotonicity and curvature restrictions and of a rule of thumb to be applied in empirical studies.