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随机边界模型SochasticFrontierModels
References 4 Kumbhakar, S., C. Lovell. Stochastic frontier analysis[M]. Cambridge: Cambridge University Press, 2000. Kumbhakar, S., R. Ortega-Argilés, L. Potters, M. Vivarelli,P. Voigt, 2012b, Corporate rd and firm efficiency: Evidence from europe’s top rd investors, Journal of Productivity Analysis, 37 (2): 125-140. Kumbhakar, S. C., 1990, Production frontiers, panel data, and time-varying technical inefficiency, Journal of Econometrics, 46 (1): 201-211. Kumbhakar, S. C., S. Ghosh, J. T. McGuckin, 1991, A generalized production frontier approach for estimating determinants of inefficiency in us dairy farms, Journal of Business Economic Statistics, 9 (3): 279-286. Kumbhakar, S. C., C. F. Parmeter, E. G. Tsionas, 2013, A zero inefficiency stochastic frontier model, Journal of Econometrics, 172 (1): 66-76. Kumbhakar, S. C., E. G. Tsionas, 2011, Some recent developments in efficiency measurement in stochastic frontier models, Journal of Probability and Statistics, 2011: forthcoming. Lai, H.-p., C. J. Huang, 2011, Maximum likelihood estimation of seemingly unrelated stochastic frontier regressions, Journal of Productivity Analysis: 1-14. References 5 Lee, Y. H., P. Schmidt. 1993, A production frontier model with flexible temporal variation in technical efficiency[C], in H. Fried, C. Lovell,S. Schmidt eds, The measurement of productive efficiency: Techniques and applications (Oxford University Press, Oxford, UK) 237-255. Lian, Y., C.-F. Chung, 2008, Are chinese listed firms over-investing?, SSRN working paper, Available at SSRN: /abstract=1296462. Meeusen, W., J. Van den Broeck, 1977, Efficiency estimation from cobb-douglas production functions with composed error, International Economic Review, 18 (2): 435-444. Peyrache, A., A. N. Rambaldi, 2012, A state-space stochastic frontier panel data model, working Paper. Pitt, M. M., L.-F. Lee, 1981, The measurement and sources of technical inefficiency in the indonesian weaving industry, Journal of Development Economics, 9 (1)
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