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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/23751


    Title: Estimation of Technical Inefficiencies with Heterogeneous Technologies
    Authors: 黃河泉;Huang, Ho-chuan
    Contributors: 淡江大學財務金融學系
    Keywords: stochastic frontier;random-coefficient;Gibbs sampler;Metropolis–Hastings
    Date: 2004-05-01
    Issue Date: 2009-11-30 17:52:12 (UTC+8)
    Publisher: Springer
    Abstract: 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.
    Relation: Journal of Productivity Analysis 21(3), pp.277-296
    DOI: 10.1023/B:PROD.0000022094.39915.cf
    Appears in Collections:[財務金融學系暨研究所] 期刊論文

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