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    題名: Estimation of Technical Inefficiencies with Heterogeneous Technologies
    作者: 黃河泉;Huang, Ho-chuan
    貢獻者: 淡江大學財務金融學系
    關鍵詞: stochastic frontier;random-coefficient;Gibbs sampler;Metropolis–Hastings
    日期: 2004-05
    上傳時間: 2009-11-30 17:52:12 (UTC+8)
    出版者: Springer
    摘要: This paper considers the measurement of firm's specific (in)efficiency while allows for the possible heterogeneous technologies adopted by different firms. A flexible stochastic frontier model with random coefficients is proposed to distinguish technical inefficiency from technological differences across firms. Posterior inference of the model is made possible via the simulation-based approach, namely, Markov chain Monte Carlo method. The model is applied to a real data set which has also been considered in Christensen and Greene (1976), Greene (1990), Tsionas (2002), among others. Empirical results show that the regression coefficients can vary across firms, indicating the adoption of heterogeneous technologies by different firms. More importantly, we find that, without considering this possible heterogeneity, the inefficiency of firms can be over-estimated.
    關聯: Journal of Productivity Analysis 21(3), pp.277-296
    DOI: 10.1023/B:PROD.0000022094.39915.cf
    顯示於類別:[財務金融學系暨研究所] 期刊論文

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