| 来源类型 | Working papers |
| 规范类型 | 论文 |
| DOI | 10.3929/ethz-a-010151789 |
| Persistent and transient productive inefficiency: a maximum simulated likelihood approach | |
| Filippini, Massimo; Greene, William | |
| 发表日期 | 2014-05 |
| 出版者 | ETH Zurich, Center of Economic Research (CER-ETH) |
| 出版年 | 2014 |
| 语种 | 英语 |
| 摘要 | The productive efficiency of a firm can be seen as composed of two parts, one persistent and one transient. The received empirical literature on the measurement of productive efficiency has paid relatively little attention to the difference between these two components. Ahn, Good and Sickles (2000) suggested some approaches that pointed in this direction. The possibility was also raised in Greene (2004), who expressed some pessimism over the possibility of distinguishing the two empirically. Recently, Colombi (2010) and Kumbhakar and Tsionas (2012), in a milestone extension of the stochastic frontier methodology have proposed a tractable model based on panel data the promises to provide separate estimates of the two components of efficiency. The approach developed in the original presentation proved very cumbersome actually to implement in practice. Colombi (2010) notes that FIML estimation of the model is ‘complex and time consuming.’ In the sequence of papers, Colombi (2010), Colombi et al. (2011, 2014), Kumbhakar, Lien and Hardaker (2012) and Kumbhakar and Tsionas (2012) have suggested other strategies, including a four step least squares method. The main point of this paper is that full maximum likelihood estimation of the model is neither complex nor time consuming. The extreme complexity of the log likelihood noted in Colombi (2010), Colombi et al. (2011, 2014) is reduced by using simulation and exploiting the Butler and Moffitt (1982) formulation. In this paper, we develop a practical full information maximum simulated likelihood estimator for the model. The approach is very effective and strikingly simple to apply, and uses all of the sample distributional information to obtain the estimates. We also implement the panel data counterpart of the JLMS (1982) estimator for technical or cost inefficiency. The technique is applied in a study of the cost efficiency of Swiss railways. |
| 主题 | Productive efficiency ; Stochastic frontier analysis ; Panel data ; Transient and persistent efficiency |
| URL | https://www.research-collection.ethz.ch/handle/20.500.11850/339318 |
| 来源智库 | Centre for Energy Policy and Economics (Switzerland) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/266733 |
| 推荐引用方式 GB/T 7714 | Filippini, Massimo,Greene, William. Persistent and transient productive inefficiency: a maximum simulated likelihood approach. 2014. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| eth-8618-01.pdf（1369KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
| eth-8618-01.jpg（3KB） | 智库出版物 | 限制开放 | CC BY-NC-SA |  浏览 | ||
| 文件名： | eth-8618-01.jpg |
| 格式： | JPEG |
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