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Generalized Stochastic Frontier Production Models

Author

Listed:
  • Löthgren, Mickael

    () (Department of Economic Statistics)

Abstract

This paper proposes a generalization of the single output stochastic production frontier model. The generalization allows estimation of production frontiers and distance functions (technical efficiency) for multiple output technologies using cross section or panel data on inputs and outputs.

Suggested Citation

  • Löthgren, Mickael, 1996. "Generalized Stochastic Frontier Production Models," SSE/EFI Working Paper Series in Economics and Finance 149, Stockholm School of Economics, revised 03 Sep 1997.
  • Handle: RePEc:hhs:hastef:0149
    Note: Forthcoming in: Economic Letters
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    Citations

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    Cited by:

    1. Irz, Xavier T. & Stevenson, James R., 2012. "Efficiency and Farm Size in Philippine Aquaculture. Analysis in a Ray Production Frontier Framework," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), issue 2, August.
    2. John L. Whiteman, 1999. "The Measurement Of Efficiency Where There Are Multiple Outputs," Centre of Policy Studies/IMPACT Centre Working Papers g-134, Victoria University, Centre of Policy Studies/IMPACT Centre.
    3. Toman, J.T., 2005. "The gang system and comparative advantage," Explorations in Economic History, Elsevier, vol. 42(2), pages 310-323, April.

    More about this item

    Keywords

    Distance function; panel data; stochastic frontier models; technical efficiency;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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