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研究生: 蘇奕璿
Su Yi Hsuan
論文名稱: The Relationship between Globalization and Income Inequality: Evidence from the Panel Threshold Regression Model
全球化與貧富不均的關係-縱橫門檻迴歸模型之實證研究
指導教授: 祁玉蘭
Chyi, Yih-Luan
口試委員:
學位類別: 碩士
Master
系所名稱: 科技管理學院 - 經濟學系
Department of Economics
論文出版年: 2008
畢業學年度: 96
語文別: 英文
論文頁數: 57
中文關鍵詞: 全球化貧富不均門檻迴歸
外文關鍵詞: Globalization, Income inequality, Threshold regression
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  • In this paper, we investigate the relationship between globalization and income inequality over time. We employ three globalization indices, including GlobalIndex, KOF-Index, and a composite globalization index generated from factor analysis to implement the empirical tests in the use of the panel threshold regression model. Our empirical results show the tests for single threshold model in the cases of taking GlobalIndex and KOF-Index as the threshold variable are both highly significant. It implies the effect of globalization on income inequality differs depending on the degree of globalization in a country. In the initial stage of globalization, globalization raises the income inequality in a country. When the degree of globalization is over a critical value, the rate of rising income inequality may have the tendency to slow down.


    Contents Chapter I. Introduction Chapter II. Literature Review A. The Dimensions of Globalization B. The Consequences of Globalization (A). The influence of globalization on economic growth (B). The influence of globalization on poverty (C). The influence of globalization on income inequality 1. Why (income) inequality matters? 2. Inequality between and within countries 3. Why income inequality rather than wage inequality 4. The link between globalization and (income) inequality a. At the theoretical level b. At empirical level c. Kuznets Curve or The Great U-Turn C. The Design of Globalization Index (A). Traditional or simple proxy of globalization (B). The index incorporating with various channels (C). A composite index of globalization Chapter III. The Econometric Method and Statistical Techniques A. The Panel Threshold Regression Model B. Factor Analysis vs. Principal Component Analysis Chapter IV. The Measures and Data A. The Measure and Data of Income Inequality B. The Measures and Data of Globalization Chapter V. Empirical Results, Interpretations, and Further Discussions A. Introduction Case (Ⅰ): GlobalIndex as the threshold variable Case (Ⅱ): KOF-Index as the threshold variable Case (Ⅲ): GFactor as the threshold variable B. Summary of empirical results C. Interpretations of empirical results D. Further discussions Chapter VI. Conclusions References

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