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Stochastic Frontier Analysis: Foundations and Advances I

In: Handbook of Production Economics

Author

Listed:
  • Subal C. Kumbhakar

    (State University of New York at Binghamton
    Inland Norway University of Applied Sciences)

  • Christopher F. Parmeter

    (University of Miami)

  • Valentin Zelenyuk

    (The University of Queensland)

Abstract

This chapter (as well as Chap. 11) reviews some of the most important developments in the econometric estimation of productivity and efficiency surrounding the stochastic frontier model.

Suggested Citation

  • Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    • Handle: RePEc:spr:sprchp:978-981-10-3455-8_9
    DOI: 10.1007/978-981-10-3455-8_9
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    as
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    More about this item

    Keywords

    Efficiency; Productivity; Panel data; Endogeneity; Nonparametric; Determinants of inefficiency; Quantile; Identification;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

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