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SFKK: Stata module to estimate endogenous stochastic frontier models in the style of Karakaplan and Kutlu

Author

Listed:
  • Mustafa Ugur Karakaplan

    () (Utah State University)

Abstract

sfkk fits endogenous stochastic production or cost frontier models following the methodology provided by Karakaplan and Kutlu (2015). sfkk provides estimators for the parameters of a linear model with a disturbance that is assumed to be a mixture of two components: a measure of inefficiency which is strictly nonnegative and a two-sided error term from a symmetric distribution. sfkk can handle endogenous variables in the frontier and/or the inefficiency, and the sfkk estimates outperform the standard frontier estimates that ignore endogeneity. See Karakaplan and Kutlu (2015) for a detailed explanation of their methodology and empirical analyses.

Suggested Citation

  • Mustafa Ugur Karakaplan, 2015. "SFKK: Stata module to estimate endogenous stochastic frontier models in the style of Karakaplan and Kutlu," Statistical Software Components S458029, Boston College Department of Economics, revised 27 Oct 2016.
  • Handle: RePEc:boc:bocode:s458029
    Note: This module should be installed from within Stata by typing "ssc install sfkk". Windows users should not attempt to download these files with a web browser.
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    File URL: http://fmwww.bc.edu/repec/bocode/s/sfkk.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/s/sfkk.sthlp
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