Observed and Unobserved Heterogeneity in Stochastic Frontier Models: An Application to the Electricity Distribution Industry
Observed and Unobserved Heterogeneity in Stochastic Frontier Models: An Application to the Electricity Distribution Industry
复制标题
DOI：
10.2139/ssrn.1502662
复制
发表时间：
2009-09
期刊：
影响因子：
--
通讯作者：
Maria Kopsakangas-Savolainen;R. Svento
中科院分区：
文献类型：
--
作者：
Maria Kopsakangas-Savolainen;R. Svento
在本研究中，我们结合联合收割机不同的可能性，以随机前沿分析模型的企业层面的异质性。我们发现，观察到的和未观察到的异质性导致严重的偏见，在效率低下的结果。模拟观察到的和未观察到的异质性对待个别企业以不同的方式，即使在这两种情况下，预期的平均无效率分数减少企业水平的效率排名顺序是非常不同的。通过随机化前沿参数对未观察到的异质性进行建模，同时将观察到的异质性明确建模为无效率分布，从而获得与数据的最佳拟合。这些结果是通过使用芬兰配电公用事业的数据，结果是相关的配电定价和监管。
In this study we combine different possibilities to model firm level heterogeneity in stochastic frontier analysis. We show that both observed and unobserved heterogeneities cause serious biases in inefficiency results. Modelling observed and unobserved heterogeneities treat individual firms in different ways and even though the expected mean inefficiency scores in both cases diminish the firm level efficiency rank orders turn out to be very different. The best fit with the data is obtained by modelling unobserved heterogeneity through randomizing frontier parameters and at the same time explicitly modelling the observed heterogeneity into the inefficiency distribution. These results are obtained by using data from Finnish electricity distribution utilities and the results are relevant in relation to electricity distribution pricing and regulation.