Estimation of Technical Inefficiencies with Heterogeneous Technologies
學年 92
學期 2
出版（發表）日期 2004-05-01
作品名稱 Estimation of Technical Inefficiencies with Heterogeneous Technologies
作品名稱（其他語言）
著者 黃河泉; Huang, Ho-chuan
單位 淡江大學財務金融學系
出版者 Springer
著錄名稱、卷期、頁數 Journal of Productivity Analysis 21(3), pp.277-296
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.
關鍵字 stochastic frontier;random-coefficient;Gibbs sampler;Metropolis–Hastings
語言 en
ISSN 0895-562X
期刊性質 國內
收錄於
產學合作
通訊作者
審稿制度 否
國別 TWN
公開徵稿
出版型式 ,電子版
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