Some New Semiparametric Panel Stochastic Frontier Models
Greene (2002, 2004) examines several extensions of the panel stochastic frontier models including what he calls the â€œtrueâ€ 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
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- 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.
- Smith, Michael & Kohn, Robert, 1996.
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- 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.
- Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
- Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990.
"Production frontiers with cross-sectional and time-series variation in efficiency levels,"
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Elsevier, vol. 46(1-2), pages 185-200.
- Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1989. "Production Frontiers With Cross-Sectinal And Time-Series Variation In Efficiency Levels," Working Papers 89-18, C.V. Starr Center for Applied Economics, New York University.
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