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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
    as

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    Citations

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    Cited by:

    1. Dias, Weeratilake, 1998. "Productivity And Efficiency Of Agricultural And Non Agricultural Banks In The United States: Dea Approach," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20845, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Aditi Bhattacharyya & Sudeshna Pal, 2011. "Financial Reforms and Technical Efficiency in Indian Commercial Banking: A Generalized Stochastic Frontier Analysis," Working Papers 1104, Sam Houston State University, Department of Economics and International Business.
    3. 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), vol. 1(2), pages 1-24, August.
    4. 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.
    5. DiMaria, charles-henri, 2024. "Research and development, innovation inputs and productivity; The role of National Innovation Systems," MPRA Paper 120800, University Library of Munich, Germany.
    6. 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;
    All these keywords.

    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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