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Stochastic Frontier Analysis: Foundations and Advances II

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 continues to review some of the most important developments in the econometric estimation of productivity and efficiency surrounding the stochastic frontier model. As in the previous chapter, we continue to place an emphasis on highlighting recent research and providing broad coverage, while details are left for further reading in the rich (although not exhaustive) references at the end of this chapter.

Suggested Citation

  • Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    • Handle: RePEc:spr:sprchp:978-981-10-3455-8_11
    DOI: 10.1007/978-981-10-3455-8_11
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    as
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    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

    Statistics

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