Efficiency Analysis with Stochastic Frontier Models using Popular Statistical Softwares

B.H. Nguyen, Robin Sickles and Valentin Zelenyuk
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B.H. Nguyen: School of Economics, University of Queensland, Brisbane, Qld 4072, Australia

No 1, Working Papers from International Society for Efficiency and Productivity Analysis

Abstract: Our 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. We also document 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.

Keywords: Technical efficiency; Stochastic frontier analysis; Panel data; Semi-parametric; Stata; Matlab; R. (search for similar items in EconPapers)
Pages: 44 pages
New Economics Papers: this item is included in nep-cwa and nep-eff
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https://iseapa.org/documents/sfa_with_stata_v19.pdf (application/pdf)

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Chapter: Efficiency Analysis with Stochastic Frontier Models Using Popular Statistical Softwares (2022)
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