A hierarchical panel data stochastic frontier model for the estimation of stochastic metafrontiers | |
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學年 | 109 |
學期 | 1 |
出版(發表)日期 | 2020-08-19 |
作品名稱 | A hierarchical panel data stochastic frontier model for the estimation of stochastic metafrontiers |
作品名稱(其他語言) | |
著者 | Christine Amsler; Yi Yi Chen; Peter Schimdt; Hung Jen Wang |
單位 | |
出版者 | |
著錄名稱、卷期、頁數 | Empirical Economics 60, p.353–363 |
摘要 | This paper proposes a stochastic frontiermodel with three composed errors, and therefore six error components. As in the metafrontier literature, firms belong to groups with a group-specific frontier. A firm has a level of short-run and long-run inefficiency relative to its group-specific frontier, as in existing models with two composed errors and four error components. But now there is also a group-specific inefficiency, that is, a shortfall of the group-specific frontier from the best practice metafrontier. The paper shows how to estimate this model and how to extract predictions of the various inefficiencies. |
關鍵字 | Stochastic frontier;Panel data;Hierarchical model;Metafrontier;Inefficiency |
語言 | en |
ISSN | 1435-8921 |
期刊性質 | 國外 |
收錄於 | SSCI EconLit |
產學合作 | 國外 |
通訊作者 | schmidtp@msu.edu |
審稿制度 | 是 |
國別 | DEU |
公開徵稿 | |
出版型式 | ,電子版 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/119862 ) |
SDGS | 良好健康和福祉,優質教育,尊嚴就業與經濟發展,產業創新與基礎設施 |