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Unknown latent structure and inefficiency in panel stochastic frontier models

Author

Listed:
  • Levent Kutlu

    (University of Texas Rio Grande Valley)

  • Kien C. Tran

    (University of Lethbridge)

  • Mike G. Tsionas

    (Lancaster University Management School)

Abstract

This paper extends the fixed effect panel stochastic frontier models to allow group heterogeneity in the slope coefficients. We propose the first-difference penalized maximum likelihood (FDPML) and control function penalized maximum likelihood (CFPML) methods for classification and estimation of latent group structures in the frontier as well as inefficiency. Monte Carlo simulations show that the proposed approach performs well in finite samples. An empirical application is presented to show the advantages of data-determined identification of the heterogeneous group structures in practice.

Suggested Citation

  • Levent Kutlu & Kien C. Tran & Mike G. Tsionas, 2020. "Unknown latent structure and inefficiency in panel stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 54(1), pages 75-86, August.
    • Handle: RePEc:kap:jproda:v:54:y:2020:i:1:d:10.1007_s11123-020-00584-8
    DOI: 10.1007/s11123-020-00584-8
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    References listed on IDEAS

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    18. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2019. "A time-varying true individual effects model with endogenous regressors," Journal of Econometrics, Elsevier, vol. 211(2), pages 539-559.
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    Citations

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    Cited by:

    1. Levent Kutlu, 2020. "Greenhouse Gas Emission Efficiencies of World Countries," IJERPH, MDPI, vol. 17(23), pages 1-11, November.
    2. Levent Kutlu & Ran Wang, 2021. "Greenhouse Gas Emission Inefficiency Spillover Effects in European Countries," IJERPH, MDPI, vol. 18(9), pages 1-14, April.
    3. Kutlu, Levent & Nair-Reichert, Usha, 2022. "Executive compensation and the potential for additional efficiency gains: Evidence from the Indian manufacturing sector," Economic Modelling, Elsevier, vol. 114(C).
    4. Alexander D. Stead & Phill Wheat & William H. Greene, 2023. "On hypothesis testing in latent class and finite mixture stochastic frontier models, with application to a contaminated normal-half normal model," Journal of Productivity Analysis, Springer, vol. 60(1), pages 37-48, August.
    5. Marta Arbelo-Pérez & Yaiza Armas-Cruz & Antonio Arbelo, 2022. "Environmental strategy and firm performance: A new methodological proposal," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(8), pages 283-292.

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    More about this item

    Keywords

    Classification; Fixed effect; Group heterogeneity; Panel stochastic frontier; Penalized control function maximum likelihood; Penalized first-difference maximum likelihood.;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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