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Fitting endogenous stochastic frontier models in Stata

Author

Listed:
  • Mustafa U. Karakaplan

    (Georgetown University)

Abstract
In this article, I introduce sfkk, a new command for fitting endogenous stochastic frontier models. sfkk provides estimators for the parameters of a linear model with a disturbance assumed to be a mixture of two components: a mea- sure of inefficiency that is strictly nonnegative and a two-sided error term from a symmetric distribution. sfkk can handle endogenous variables in the frontier or the inefficiency, and the sfkk estimates outperform the standard frontier estimates that ignore endogeneity.

Suggested Citation

  • Mustafa U. Karakaplan, 2017. "Fitting endogenous stochastic frontier models in Stata," Stata Journal, StataCorp LP, vol. 17(1), pages 39-55, March.
    • Handle: RePEc:tsj:stataj:v:17:y:2017:i:1:p:39-55
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj17-1/st0466/
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    Citations

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    Cited by:

    1. Bourjade, Sylvain & Muller-Vibes, Catherine, 2023. "Optimal leasing and airlines' cost efficiency: A stochastic frontier analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    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.
    3. 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.
    4. Ito, Junichi & Li, Xinyi, 2023. "Interplay between China’s grain self-sufficiency policy shifts and interregional, intertemporal productivity differences," Food Policy, Elsevier, vol. 117(C).
    5. Djuraeva, Mukhayyo & Bobojonov, Ihtiyor & Kuhn, Lena & Glauben, Thomas, 2023. "The impact of agricultural extension type and form on technical efficiency under transition: An empirical assessment of wheat production in Uzbekistan," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 203-221.
    6. Agostino, Mariarosaria & Ruberto, Sabrina & Trivieri, Francesco, 2023. "The role of local institutions in cooperative banks’ efficiency. The case of Italy," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 84-103.
    7. Doanh Khanh Nguyen & Van Ngoc Thi Pham & Heo, Yoon, 2019. "Impact of institutional and cultural distance on ASEAN's trade efficiency," Economics Discussion Papers 2019-57, Kiel Institute for the World Economy (IfW Kiel).
    8. Forgione, Antonio Fabio & Migliardo, Carlo, 2023. "Mafia risk perception: Evaluating the effect of organized crime on firm technical efficiency and investment proclivity," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    9. Xu, Mengmeng & Tan, Ruipeng & He, Xinju, 2022. "How does economic agglomeration affect energy efficiency in China?: Evidence from endogenous stochastic frontier approach," Energy Economics, Elsevier, vol. 108(C).
    10. Ligia Alba Melo-Becerra & María Teresa Ramírez-Giraldo, 2023. "Transport infrastructure and technical efficiency in a panel of countries: accounting for endogeneity in a stochastic frontier model," SN Business & Economics, Springer, vol. 3(1), pages 1-18, January.
    11. Kok Fong See & Shawna Grosskopf & Vivian Valdmanis & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP072021, School of Economics, University of Queensland, Australia.
    12. Hayatullah Ahmadzai, 2022. "Hope for Change: Is Diversifying Production Portfolios an Ideal Strategy to Boost Farming Efficiency in Afghanistan?," Progress in Development Studies, , vol. 22(1), pages 7-31, January.
    13. Su, Hung-Chung & Kao, Ta-Wei (Daniel) & Linderman, Kevin, 2020. "Where in the supply chain network does ISO 9001 improve firm productivity?," European Journal of Operational Research, Elsevier, vol. 283(2), pages 530-540.
    14. Romero-Jordán, Desiderio & del Río, Pablo, 2022. "Analysing the drivers of the efficiency of households in electricity consumption," Energy Policy, Elsevier, vol. 164(C).
    15. Andrea Bonfiglio & Roberto Henke & Fabio Pierangeli & Maria Rosaria Pupo D'Andrea, 2020. "Effects of redistributing policy support on farmers’ technical efficiency," Agricultural Economics, International Association of Agricultural Economists, vol. 51(2), pages 305-320, March.
    16. Gaganis, Chrysovalantis & Galariotis, Emilios & Pasiouras, Fotios & Staikouras, Christos, 2020. "Bank profit efficiency and financial consumer protection policies," Journal of Business Research, Elsevier, vol. 118(C), pages 98-116.
    17. Junying Lin & Songqing Jin & Hongdong Guo, 2023. "Do outsourcing services provided by agricultural cooperatives affect technical efficiency? Insights from tobacco farmers in China," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(3), pages 781-804, September.
    18. Hayatullah Ahmadzai, 2017. "Crop Diversification and Technical Efficiency in Afghanistan: Stochastic Frontier Analysis," Discussion Papers 2017-04, University of Nottingham, CREDIT.
    19. Li, Xinyi & Ito, Junichi, 2023. "Determinants of technical efficiency and farmers’ crop choice rationality: A case study of rural Gansu, China," Journal of Asian Economics, Elsevier, vol. 84(C).
    20. Mustafa U. Karakaplan & Levent Kutlu, 2019. "School district consolidation policies: endogenous cost inefficiency and saving reversals," Empirical Economics, Springer, vol. 56(5), pages 1729-1768, May.

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