博碩士論文 103424024 詳細資訊




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姓名 黃思婧(Ssu-Ching Huang)  查詢紙本館藏   畢業系所 產業經濟研究所
論文名稱 人力資本與經濟成長:以TIMSS測驗分數作為人力資本代理變數可行性之探討
(Human capital and economic growth: Investigation of the feasibility of using TIMSS scores as proxy variables for human capital)
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摘要(中) 本研究旨在探討國際數學與科學教育成就趨勢調查(Trends in International Mathematics and Science Study,簡稱TIMSS)測驗分數是否可作為人力資本適切之代理變數。其中採用國際教育成就評鑑協會(International Association for the Evaluation of Educational Achievement,簡稱IEA)於1999年施行之TIMSS測驗八年級學生資料,以線性迴歸模型分析該世代學生當下測驗分數對10至15年後,其達到就業年齡、進入勞動市場時經濟表現之影響程度,並和其他可行人力資本代理變數比較適配程度。研究結果顯示,在參與1999年TIMSS測驗的38個國家中,數學及科學測驗分數對10至15年後人均國內生產毛額(Gross Domestic Product,簡稱GDP)有正向效果,進一步區分已開發及開發中國家資料,可發現此結果在開發中國家模型內特別顯著,主導了全體國家模型迴歸係數表現,而已開發國家模型中並不明顯,足見追求教育品質精進與提升,對開發中國家更為重要。除此之外,在採用政府對每位中等教育學童支出佔人均GDP比資料的模型中加入TIMSS測驗分數後,能觀察到其不僅自身具正顯著影響效果,亦增強人力資本「量」相關變數之影響幅度,使模型解釋力上升,體現人力資本之教育「量」與「質」代理變數的互補效果。
摘要(英) The purpose of this study is to investigate the feasibility of using Trends in International Mathematics and Science Study (TIMSS) scores as proxy variables for human capital. Running linear regression with TIMSS 1999 eight grade students’ data conducted by International Association for the Evaluation of Educational Achievement (IEA), this study analyzes how scores of the cohort affect economic performance after 10-15 years when they become main labor and compared the goodness-of-fit of models with other feasible proxy variables. The results of this study shows that science and math scores have positive effects on GDP per capita after 10-15 years in 38 countries participating TIMSS 1999. As dividing the sample into developed and developing countries, the positive effects on GDP per capita are much more statistically significant in developing countries than in developed countries. It reveals the importance of improving quality of education in developing countries. Besides, we add TIMSS scores to the model which uses data about government expenditure per secondary student as a percentage of GDP per capita. In this model, TIMSS scores not only have significantly positive effects on GDP per capita but also enhance the effects of variables related to quantity of education. The complementarity exists between proxy variables related to quantity and quality of education.
關鍵字(中) ★ 人力資本
★ 國際數學與科學教育成就趨勢調查
關鍵字(英) ★ human capital
★ TIMSS
論文目次 中文摘要 …………………………………………………… i
英文摘要 …………………………………………………… ii
誌謝 ……………………………………………………………… iii
目錄 ……………………………………………………………… iv
圖目錄 ……………………………………………………………… v
表目錄 ……………………………………………………………… vi
一、 緒論……………………………………………… 1
1.1 研究背景與動機………………………………… 1
1.2 研究目的………………………………………… 2
1.3 研究範圍與限制………………………………… 4
1.4 研究流程與架構………………………………… 4
二、 文獻回顧………………………………………… 6
2.1 人力資本………………………………………… 6
2.2 國際數學與科學教育成就趨勢調查(TIMSS) 8
三、 研究方法………………………………………… 11
3.1 代理變數………………………………………… 11
3.2 線性迴歸模型…………………………………… 11
3.3 自變數與應變數的選取………………………… 11
3.4 實證模型………………………………………… 13
四、 實證分析………………………………………… 14
4.1 相關分析………………………………………… 14
4.2 簡單迴歸分析…………………………………… 14
4.3 複迴歸分析……………………………………… 18
五、 結論與建議……………………………………… 31
5.1 研究結論………………………………………… 31
5.2 建議……………………………………………… 32
參考文獻 …………………………………………………… 34
附錄一 ……………………………………………………………… 37
附錄二 ……………………………………………………………… 39
附錄三 ……………………………………………………………… 41
附錄四 ……………………………………………………………… 43
附錄五 ……………………………………………………………… 45
附錄六 ……………………………………………………………… 47
附錄七 ……………………………………………………………… 51
附錄八 ……………………………………………………………… 57
參考文獻 中文文獻
仁宗浩(民103)。研究設計與資料分析。載於林陳湧(主編),國際數學與科學教育成就趨勢調查2011國家報告(第三章)。台北市:師大科教中心。取自http://www.sec.ntnu.edu.tw/timss2011/downloads/g506.pdf
林陳湧(主編)(民103)。國際數學與科學教育成就趨勢調查2011國家報告。台北市:師大科教中心。取自http://www.sec.ntnu.edu.tw/timss2011/downloads/g501.pdf
高希均(主編)(民74)。教育經濟學論文集。台北市:聯經出版事業公司。
莊奕琦、李鈞元(民92)。如何衡量人力資本:理論與台灣實證。經濟論文叢刊,31,51-85。
英文文獻
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Barro, R. J., & Lee, J.-W. (1993). International comparisons of educational attainment. Journal of Monetary Economics, 32(3), 363-394.
Becker, G. S. (1975). Investment in human capital: Effects on earnings. In G. S. Becker (Ed.), Human capital: A theoretical and empirical analysis, with special reference to education (2nd ed., pp. 13-44). New York: National Bureau of Economic Research.
Bietenbeck, J. (2014). Teaching practices and cognitive skills. Labour Economic, 30, 143-153.
Card, D., & Krueger, A. B. (1992). Does school quality matter? : Returns to education and the characteristics of public schools in the United States. The Journal of Political Economy, 100(1), 1-40.
Dee, T. S. (2007). Teachers and the gender gaps in student achievement. Journal of Human Resources, XLII(3), 528-554.
Frey, C. B., & Osborne, M. (2013). The future of employment: How susceptible are jobs to computerization? OMS Working Papers, September 18.
Hanushek, E. A. (2013). Economic growth in developing countries: The role of human capital. Economics of Education Review, 37, 204-212.
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Hanushek, E. A., & Luque, J. A. (2003). Efficiency and equity in schools around the world. Economics of Education Review, 22, 481-502.
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Lucas, R. E. Jr. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(1), 3-42.
Mazurek, J. (2014). Are TIMSS scores suitable proxies for nations’ human capital? Prague Economic Papers, 2, 181-197.
Mincer, J. (1970). The distribution of labor incomes: A survey with special reference to the human capital approach. Journal of Economic Literature, 8(1), 1-26.
Mincer, J. (1974). Schooling experience and earnings. New York: NBER.
O’Brien, R. M. (2007). A caution regarding rules of thumb for Variance Inflation Factors. Quality & Quantity, 41(5), 673-690.
Ramirez, F. O., Luo, X., Schofer, E., & Meyer, J. W. (2006). Student achievement and national economic growth. American Journal of Education, 113(1), 1-29.
Romer, P. (1990). Endogenous technological change. Journal of Political Economy, 99(5, pt. II), S71-S102.
Schultz, T. W. (1961). Investment in human capital. American Economic Review, 6, 18-31.
指導教授 單驥(Gee San) 審核日期 2016-8-22
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