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

Author

Listed:
  • Sergio Perelman
  • Daniel Santin

Abstract

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 Cobb- Douglas 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.

Suggested Citation

  • Sergio Perelman & Daniel Santin, 2005. "On the generation of a regular multi-input multi-output technology using parametric output distance functions," CREPP Working Papers 0507, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.
    • Handle: RePEc:rpp:wpaper:0507
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    File URL: http://www2.ulg.ac.be/crepp/papers/crepp-wp200507.pdf
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    Cited by:

    1. Rahmatallah Poudineh & Tooraj Jamasb, 2016. "A New Perspective: Investment and Efficiency under Incentive Regulation," The Energy Journal, , vol. 37(1), pages 158-182, January.

    More about this item

    Keywords

    Output distance function; technical efficiency; Monte-Carlo experiments.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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