淡江大學機構典藏:Item 987654321/23751
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    题名: Estimation of Technical Inefficiencies with Heterogeneous Technologies
    作者: 黃河泉;Huang, Ho-chuan
    贡献者: 淡江大學財務金融學系
    关键词: stochastic frontier;random-coefficient;Gibbs sampler;Metropolis–Hastings
    日期: 2004-05-01
    上传时间: 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
    显示于类别:[財務金融學系暨研究所] 期刊論文

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