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Bayesian estimation of stochastic metafrontiers

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  • Skevas, Ioannis

Abstract

This paper presents a Bayesian method for estimating a hierarchical panel data stochastic frontier model for metafrontier analysis. It uses Bayesian simulation-based inference and user-friendly software, requiring minimal coding. Applications to simulated and real data confirm the model’s reliability.

Suggested Citation

  • Skevas, Ioannis, 2025. "Bayesian estimation of stochastic metafrontiers," Economics Letters, Elsevier, vol. 252(C).
    • Handle: RePEc:eee:ecolet:v:252:y:2025:i:c:s0165176525002058
    DOI: 10.1016/j.econlet.2025.112368
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    References listed on IDEAS

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    1. Kerstens, Kristiaan & O’Donnell, Christopher & Van de Woestyne, Ignace, 2019. "Metatechnology frontier and convexity: A restatement," European Journal of Operational Research, Elsevier, vol. 275(2), pages 780-792.
    2. Christine Amsler & Yi Yi Chen & Peter Schmidt & Hung Jen Wang, 2021. "A hierarchical panel data stochastic frontier model for the estimation of stochastic metafrontiers," Empirical Economics, Springer, vol. 60(1), pages 353-363, January.
    3. van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994. "Stochastic frontier models : A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
    4. Efthymios G. Tsionas & Subal C. Kumbhakar, 2014. "FIRM HETEROGENEITY, PERSISTENT AND TRANSIENT TECHNICAL INEFFICIENCY: A GENERALIZED TRUE RANDOM‐EFFECTS model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 110-132, January.
    5. Christine Amsler & Yi Yi Chen & Peter Schmidt & Hung Jen Wang, 2023. "A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application," Lecture Notes in Economics and Mathematical Systems, in: Pedro Macedo & Victor Moutinho & Mara Madaleno (ed.), Advanced Mathematical Methods for Economic Efficiency Analysis, pages 183-195, Springer.
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    More about this item

    Keywords

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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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