A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application
學年 111
學期 2
出版（發表）日期 2023-06-22
作品名稱 A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application
作品名稱（其他語言）
著者 Chen; Yi-yi
單位
出版者 Springer Cham
著錄名稱、卷期、頁數 Advanced Mathematical Methods for Economic Efficiency Analysis: Theory and Empirical Applications
摘要 In the metafrontier literature, firms are put into groups, generally defined by technology or geography. Each group has its own technological frontier, and the metafrontier is the upper bound of these group frontiers. The aim of this literature is to measure a firm’s inefficiency, and to decompose it into its inefficiency relative to its group’s frontier and the inefficiency of its group’s frontier relative to the metafrontier. A previous paper (Amsler et al., Empirical Economics 60:353–363, 2021) proposes a hierarchical stochastic frontier model to accomplish this, where the hierarchy is firms in groups in the overall set of groups. This chapter gives an empirical implementation of this model, with emphasis on computational issues.
關鍵字 Stochastic frontier;Panel data;Hierarchical model;Metafrontier;Inefficiency
語言 en_US
ISBN 9783031295829
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/124192 )

SDGS 優質教育,尊嚴就業與經濟發展,產業創新與基礎設施