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    政大機構典藏 > 商學院 > 金融學系 > 學位論文 >  Item 140.119/59305
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/59305

    Title: 考慮內生性與樣本選擇之生產邊界估計方法—關聯結構法與共同邊界法之應用
    An estimation of production frontiers taking account of endogeneity and selection under the framework of copula methods and metafrontier models
    Authors: 謝子雄
    Xie, Zixiong
    Contributors: 黃台心
    Huang, Tai Hsin
    Xie, Zixiong
    Keywords: 生產函數
    production function
    technical efficiency
    Date: 2012
    Issue Date: 2013-09-02 16:03:54 (UTC+8)
    Abstract: 本論文嘗試解決在文獻上估計生產函數時所產生內生性及樣本選擇的問題。在模型設定上,我允許生產函數存在未觀察到的生產力,並引入技術無效率。在隨機邊際模型架構下,我利用 Olley and Pakes (1996) 及 Levinsohn and Petrin (2003) 所提之演算法先行解決內生性的問題。之後再利用關聯結構法 (copula method) 將樣本選擇問題考慮至生產函數中。如此,既可解決生產函數時所產生內生性及樣本選擇的問題,又可在此基礎上估計技術效率值。另外,根據本文所提之估計方法基礎下,我們透過共同邊界分析法 (metafrontier analysis) 比較留下 (stayer) 與離開 (exit) 市場廠商的技術效率與技術差距比率 (technology gap ratio, TGR)。
    Plants in Taiwan’s manufacturing are characterized as small- and medium-size with frequent exit and entry and the scale of survivors varies considerably with business cycles. Plants' choices on whether to exit or to stay and continuing plants' options on input quantities count on both technical efficiency and productivity. This entails a selection and a simultaneity problems in the estimation of production frontiers.

    This dissertation proposes a new approach to solve both issues under the framework of the stochastic frontier approach. More specific, we extend Olley and Pakes' (1996) and Levinsohn and Petrin's (2003) approaches to a stochastic production frontier and use copula methods to deal with simultaneity and selection at the same time. Based on the proposed method, we further conduct a metafrontier analysis to compare the technical efficiency and technology gap ratio between exit and continuing firms, which are operating under different technologies and subject to simultaneity and selection. The data of Taiwan’s electronic and food products industries are arbitrarily chosen to illustrate our empirics. Some results are obtained in this dissertation: first, the proposed model solves the problems of simultaneity and selectivity in the production function that exists in ordinary least square estimation; second, there is a serious downward bias in technical efficiency when the conventional stochastic frontier approach ignores simultaneity or sample selection problem; third, the results of metafrontier analysis find that, there is little difference in technology gap ratio between exit and continuing firms. The primary determinant on whether a firm can keep operating in the industry is its managerial ability, rather than its adoption of technology.
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    Description: 博士
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0095352507
    Data Type: thesis
    Appears in Collections:[金融學系] 學位論文

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