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Efficiency Analysis with Stochastic Frontier Models Using Popular Statistical Softwares

In: Advances in Economic Measurement

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  • Bao Hoang Nguyen

    (The University of Queensland)

  • Robin C. Sickles

    (Rice University)

  • Valentin Zelenyuk

    (The University of Queensland)

Abstract

This chapter provides a brief introduction to the stochastic frontier paradigm—one of the most powerful techniques for performance analysis developed over the last few decades to address various research questions for many contexts with empirical applications in a wide variety of economic sectors such as banking, healthcare, agriculture and so on. The chapter also documents the estimation routines used to implement the classical models as well as the recent developments in this research area for practitioners, especially those who are willing to use Stata, but also with tips on sources for R and Matlab users.

Suggested Citation

  • Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2022. "Efficiency Analysis with Stochastic Frontier Models Using Popular Statistical Softwares," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 129-171, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-2023-3_3
    DOI: 10.1007/978-981-19-2023-3_3
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