教師資料查詢 | 類別: 期刊論文 | 教師: 陳怡宜CHEN YI-YI (瀏覽個人網頁)

標題:A hierarchical panel data stochastic frontier model for the estimation of stochastic metafrontiers
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
語言英文
ISSN1435-8921
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
國別德國
公開徵稿
出版型式,電子版
相關連結
SDGs
  • 產業創新與基礎設施
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