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Stochastic Frontier Analysis SFA

In: Benchmarking with DEA, SFA, and R

Author

Listed:
  • Peter Bogetoft

    (Copenhagen Business School CBS)

  • Lars Otto

    (University of Copenhagen)

Abstract

As explained in Chap. 1, there are two dominant approaches to modern benchmarking. One is the non-parametric, deterministic DEA approach discussed in some detail in the last three chapters; other is the stochastic frontier analysis (SFA), which we will cover in this and the next chapter. In the subsequent chapters, we will discuss a series of major applications of both approaches and examine the underlying benchmarking problem.

Suggested Citation

  • Peter Bogetoft & Lars Otto, 2011. "Stochastic Frontier Analysis SFA," International Series in Operations Research & Management Science, in: Benchmarking with DEA, SFA, and R, chapter 0, pages 197-231, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-7961-2_7
    DOI: 10.1007/978-1-4419-7961-2_7
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    Cited by:

    1. Olawale Ogunrinde & Ekundayo Shittu, 2023. "Benchmarking performance of photovoltaic power plants in multiple periods," Environment Systems and Decisions, Springer, vol. 43(3), pages 489-503, September.

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