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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)

Programming Language

Stata

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". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/s/sfkk.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/sfkk_ml.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/sfkk.sthlp
    File Function: help file
    Download Restriction: no
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    Citations

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    Cited by:

    1. Sylvia Beatriz Guillermo Peon & Israel Vargas Casimiro, 2017. "Recaudacion potencial, eficiencia recaudatoria y transferencias federales: Un analisis para las entidades federativas en Mexico utilizando el modelo de frontera estocastica," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 14(1), pages 35-71, Enero-Jun.
    2. Mohammad Ariful Islam & Seiichi Fukui, 2018. "The influence of share tenancy contracts on the cost efficiency of rice production during the Bangladeshi wet season," Economics Bulletin, AccessEcon, vol. 38(4), pages 2431-2443.

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