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Some New Semiparametric Panel Stochastic Frontier Models

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  • Gholamreza Hajargasht

Abstract

Greene (2002, 2004) examines several extensions of the panel stochastic frontier models including what he calls the “true†fixed and random effect stochastic frontier models. In this paper we extend these two models to their semiparametric alternatives where the functional form for production function (or other forms of technology) is assumed to be unknown. To this end we use the Bayesian penalized approach to stochastic frontiers developed in Hajargasht et al. (2003). Finally we illustrate our estimation method with an example using real data

Suggested Citation

  • Gholamreza Hajargasht, 2004. "Some New Semiparametric Panel Stochastic Frontier Models," Econometric Society 2004 Australasian Meetings 127, Econometric Society.
    • Handle: RePEc:ecm:ausm04:127
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    References listed on IDEAS

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    1. Adams, Robert M & Berger, Allen N & Sickles, Robin C, 1999. "Semiparametric Approaches to Stochastic Panel Frontiers with Applications in the Banking Industry," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 349-358, July.
    2. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    3. Smith, Michael & Kohn, Robert, 1996. "Nonparametric regression using Bayesian variable selection," Journal of Econometrics, Elsevier, vol. 75(2), pages 317-343, December.
    4. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    5. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    6. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
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    More about this item

    Keywords

    semiparametric; True Random Effect; Stochastic Frontier; Bayesian; P-Spline;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

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