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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/124192


    Title: A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application
    Authors: Chen;Yi-yi
    Keywords: Stochastic frontier;Panel data;Hierarchical model;Metafrontier;Inefficiency
    Date: 2023-06-22
    Issue Date: 2023-07-03 12:05:26 (UTC+8)
    Publisher: Springer Cham, Switzerland AG 2023
    Abstract: 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.
    Relation: Advanced Mathematical Methods for Economic Efficiency Analysis: Theory and Empirical Applications
    初版
    DOI: 10.1007/978-3-031-29583-6
    Appears in Collections:[Graduate Institute & Department of Economics] Chapter

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