A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application

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题名:	A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application
作者:	Chen;Yi-yi
关键词:	Stochastic frontier;Panel data;Hierarchical model;Metafrontier;Inefficiency
日期:	2023-06-22
上传时间:	2023-07-03 12:05:26 (UTC+8)
出版者:	Springer Cham, Switzerland AG 2023
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.
關聯:	Advanced Mathematical Methods for Economic Efficiency Analysis: Theory and Empirical Applications 初版
DOI:	10.1007/978-3-031-29583-6
显示于类别:	[經濟學系暨研究所] 專書之單篇

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