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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/118285


    Title: 追蹤資料分量迴歸之內生性問題
    Panel Data Quantile Regression with Endogeneity
    Authors: 朱韋杰
    Chu, Wei-Chieh
    Contributors: 林馨怡
    Lin, Hsin-Yi
    朱韋杰
    Chu, Wei-Chieh
    Keywords: 分量迴歸
    追蹤資料
    內生性
    Date: 2018
    Issue Date: 2018-07-03 17:33:51 (UTC+8)
    Abstract: 本文結合 Canay(2011)和 Lee(2007)的做法,提出三階段估計,以解決追蹤資料分量迴歸模型的內生性問題。本論文提出的方法具有估計簡便且計算快速的優點,同時本論文利用數學證明其大樣本性質。最後,經由蒙地卡羅(Monte Carlo)模擬,本論文發現,在小樣本之下,本論文提出的三階段估計確實可以有效解決追蹤資料分量迴歸內生性問題。三階段估計相較於文獻的其他估計方法,可大幅地減少估計時間。
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    Harding, M., and Lamarche, C.,2009, A quantile regression approach for estimating panel data models using instrumental variables. Economics Letters, 104, 133–135.
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    Imbens, G.W., and Newwy, W.K., 2003, Identification and estimation of triangular simultaneous equations models without additivity. MIT working paper.
    Koenker, R., 2004, Quantile regression for longitudinal data. Journal of Multivariate Analysis, 91, 74–89.
    Koenker, R. and G. Bassett, 1978, Regression quantiles. Econometrica, 46, 33–50.
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    Description: 碩士
    國立政治大學
    經濟學系 
    105258030
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0105258030
    Data Type: thesis
    DOI: 10.6814/THE.NCCU.ECONO.001.2018.F06
    Appears in Collections:[經濟學系] 學位論文

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