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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/74364

    Title: 對外直接投資與所得分配的關係 : 平滑係數部分線性模型與虛擬概似檢定的應用
    Other Titles: Nonlinearities in the foreign direct investment-income inequality nexus : evidence from a smooth coefficient partially linear model with profile likelihood inference
    Authors: 陳柏任;Chen, Po-Jen
    Contributors: 淡江大學統計學系碩士班
    鄧文舜;Deng, Wen-Shuenn
    Keywords: 外人直接投資;平滑係數部分線性模型;虛擬概似檢定;交錯確認法;Foreign Direct Investment;partially linear varying coefficient model;profile likelihood ratio test;cross-validation
    Date: 2011
    Issue Date: 2011-12-28 18:25:00 (UTC+8)
    Abstract: 經濟理論與實證研究顯示外人直接投資(FDI)會影響所得分配的不均度,並且其影響會隨著地主國人力資本存量與(或)金融發展程度的不同程度而有所不同。本論文使用半參數平滑係數部分線性迴歸模型,研究FDI與所得不均度之間的關係並且運用Fan and Huang (2005)提出的虛擬概似比檢定來檢定模型中參數部分的顯著性。
    Theoretic economic models have shown that foreign direct investment (FDI) may affect income inequality and such impact varies according to the stock of human capital and/ or level of financial development in the host country. The inequality effect of FDI may vary depending on the country’s skilled labor abundance and level of development. This thesis uses the semiparametric varying coefficient partially linear regression model to investigate the association between FDI and inequality and employs the profile likelihood ratio (PLR) test proposed by Fan and Huang (2005) to test the parametric components of the model.

    This paper investigates the relationship between the stock of inward FDI and the growth rate of Gini coefficient using a pooled dataset consisted of 175 observations from 88 countries observed from 1959 to 1997. Our results indicate that inward FDI widens income distribution mainly in countries where education attainment and per capita income are low and financial markets are better-developed. The inequality effect of FDI diminishes (worsens) as educational attainment and per capita income increase (the level of financial development improves).
    Appears in Collections:[Graduate Institute & Department of Statistics] Thesis

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