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A note on parameterizing input distance functions: does the choice of a functional form matter?

Author

Listed:
  • Rolf Färe
  • Michael Vardanyan

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

Abstract

We use a Monte Carlo experiment to compare the quadratic and translog functional forms in terms of their ability to approximate known frontiers that possess convex curvature. Unlike some of the existing simulation studies that have studied this topic, we find that both functional forms provide a reliable approximation to a true frontier. Our results lend support to existing explanations concerning the translog form’s innate propensity to yield convex, rather than concave, frontier estimates.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Rolf Färe & Michael Vardanyan, 2016. "A note on parameterizing input distance functions: does the choice of a functional form matter?," Post-Print hal-01744488, HAL.
    • Handle: RePEc:hal:journl:hal-01744488
    DOI: 10.1007/s11123-015-0448-9
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    References listed on IDEAS

    as
    1. Chambers, Robert & Färe, Rolf & Grosskopf, Shawna & Vardanyan, Michael, 2013. "Generalized quadratic revenue functions," Journal of Econometrics, Elsevier, vol. 173(1), pages 11-21.
    2. M. Denny, 1974. "The Relationship Between Functional Forms for the Production System," Canadian Journal of Economics, Canadian Economics Association, vol. 7(1), pages 21-31, February.
    3. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    4. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    Cited by:

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    More about this item

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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