政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/141752
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 113324/144300 (79%)
造访人次 : 51144240      在线人数 : 917
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/141752


    题名: 臺灣代際財富流動:財富世襲之探討
    Intergenerational Wealth Mobility in Taiwan: A Study on Wealth Hereditary
    作者: 陳敬達
    Chen, Jing-Da
    贡献者: 陳國樑
    羅時萬

    Chen, Guo-Liang
    Luo, Shi-Wan

    陳敬達
    Chen, Jing-Da
    关键词: 財富分配不均
    代際財富流動性
    遺產稅
    Wealth inequality
    Intergenerational Wealth mobility
    Estate tax
    日期: 2021
    上传时间: 2022-09-02 15:28:44 (UTC+8)
    摘要: 本研究使用財政部財政資訊中心2001年至2018年的遺產稅申報核定相關資料,並以馬可夫轉移矩陣 (Markov Transition Matrix) 及代際財富流動彈性(Intergenerational Elasiticity; IGE) 方法分析此18年內之臺灣跨代財富流動狀況;主要發現、結論與建議有下列幾點:
    一、Shorrocks Measure、Bartholomew Measure、Second Largest Eigenvalue及Mean First Passage Time四種馬可夫轉移矩陣的指標值分別約為:0.85、0.29、0.62及0.85;顯示臺灣之代際財富流動性相較於國外情形為平均。另外在 矩陣或 矩陣中皆發現,最底層階級與最頂層階級之財富流動僵固情形最為明顯。
    二、以Pooled OLS regressions計算財富五分位之代際流動的IGE ,結果依序約為:0.03、0.28、0.38、0.55及0.76;由於IGE隨財富增加數值越大,表示在臺灣財富越頂層階級財富流動性越低的現象;此與Rank-rank regressions與Poisson pseudo maximum likelihood方法所計算之IGE結果一致。
    三、Pooled OLS regressions、Rank-rank regressions及Poisson pseudo maximum likelihood計算整體代際財富流動彈性 (IGE),分別為:0.18、0.40及0.42;顯示臺灣之代際財富流動性雖然低於瑞典,但高於美國、英國及法國。
    四、進一步考量設籍地與死亡時是否遺有配偶對代際財富流動性之影響,結果發現一代或次代之戶籍設於城市(六都)者,其代際財富流動性與次代之財富水準統計顯著較高;在配偶狀態分析中顯示,一代於死亡時遺有配偶者,其代際財富流動性與次代之財富水準統計顯著較低,但次代於死亡時遺有配偶者,則其代際財富流動性與次代之財富水準統計顯著較高。
    整體而言,本研究的結果顯示臺灣之財富不均度高於所得不均度,而財富代際流動狀況也呈現越高財富者愈具僵固性的現象。在政策規範面的意涵上,政府應重視現行租稅制度中相關量能課稅的功能,提出更為積極的重分配政策,同時也應檢視社會制度、法則的公平性,進而有效影響台灣社會財富分配,以提高代際流動性、減少階層間的對立,改善整體社會的公平性。
    This study implemented the administrative records of the Estate Tax Case in Taiwan provided by the Financial Information Agency (FIA), Ministry of Finance of Taiwan. The transition Matrix of the Markov chain and the regression model were applied to estimate the intergenerational wealth mobility between 2001 and 2018. Findings and suggestions are summarized as follows.
    First, the calculation results of the Shorrocks Measure, Bartholomew Measure, Second Largest Eigenvalue, and Mean First Passage Time are 0.85、0.29、0.62 and 0.85, respectively, indicating that the equality of the intergenerational wealth mobility in Taiwan is relatively higher compared to the that of different countries. In addition, the transition matrices reveal low wealth mobility in the richest class and the poorest class.
    Second, Pooled OLS regressions are applied to measure the intergenerational wealth elasticity in quantiles (IGE), and the results are 0.03、0.28、0.38、0.55 and 0.76, respectively. Since the value of IGE increases as wealth increases, it shows that the intergenerational wealth mobility in Taiwan is more persistent in the higher class. The results of IGE in this study correspond to the results found by applying the Rank-rank regressions and Poisson pseudo maximum likelihood.
    Third, Pooled OLS regressions, Rank-rank regressions, and Poisson pseudo maximum likelihood are applied to calculate the intergenerational wealth elasticity in Taiwan, and the results are 0.18、0.40 and 0.42, respectively, showing that the IGE value of Taiwan is lower than Sweden but higher than American, England and France.
    Fourth, when considering the effect an individual’s household registration and demographic heterogeneity might have on intergenerational wealth mobility, we find that if the first or second generation who lives in the urban area (six municipalities in Taiwan), the statistical significance of intergenerational wealth mobility and second-generation wealth tend to be higher. Also, if either one of the first generations is still living after the death of the other, the statistical significance of both intergenerational wealth mobility and second generation wealth would be lower. On the contrary, if either one of the second generations is still living after the death of the other, the statistical significance of the intergenerational wealth mobility and second generation wealth would be higher.
    Generally, the wealth inequality in Taiwan is higher than income inequality, and the intergenerational wealth mobility shows a higher persistence in the wealthy class. It is suggested that the government should place greater emphasis on the Ability to Pay Principal in the tax system and redistributive policies with high efficiency should be introduced. The social system and laws relevant to tax should also be reexamined so as to increase intergenerational wealth mobility and enhance the fairness of wealth distribution in Taiwan.
    參考文獻: 朱敬一與康廷嶽 (2015),「經濟轉型中的「社會不公平」」,《臺灣經濟預測與政策》,45,1–22。
    伍大開與陳國樑 (2018),「以遺產稅資料分析我國財富分配不均與財富之組成」,《經濟論文叢刊》,46,523–567。
    李家銘、陳國樑與黃勢璋 (2018),「稅制與遺贈決策之實證分析」,《臺灣經濟預測與政策》,49,97–146。
    連賢明、曾中信、楊子霆、韓幸紋與羅光達 (2021),「台灣財富分配2004-2014:以個人財產登錄資料推估」,《經濟論文叢刊》,49,97–104。
    陳湘儒 (2019),「以財稅資料分析臺灣跨代所得階層流動」,碩士論文,國立政治大學財政學系研究所。
    劉立雯 (2016),「台灣跨代社會流動—以所得、財產及消費分析」,碩士論文,國立臺灣大學會計學研究所。
    Adermon, A., M. Lindahl, and D. Waldenström (2018), “Intergenerational Wealth Mobility and the Role of Inheritance: Evidence from Multiple Generations,” Economic Journal, 12, F482–F513.
    Atkinson, A. B., A. K. Maynard, and C. G. Trinder (1983), “Evidence on Intergenerational Income Mobility in Britain: Some Further Preliminary Results,” International Economic Association Series, in: Burton Weisbrod & Helen Hughes (ed.), Human Resources, Employment and Development, chapter 21, pages 290–308, Palgrave Macmillan.
    Aydemir, A., W. H. Chen and M. Corak (2009), “Intergenerational Earnings Mobility Among the Children of Canadian Immigrants,” Review of Economics and Statistics, 91, 377–397.
    Azariadis C. and J. Stachurski (2005), “Poverty Traps,” in P. Aghion, and S. Durlauf (eds), Handbook of economic growth, Amsterdam: Elsevier, 1A, 295–384.
    Azar, S.A, (2008), “Jensen’s Inequality in Finance,” International Advances in Economic Research, 14, 433–440.
    Aaberge, R., A. Björklund, M. Jäntti, M. Palme, P. J. Pedersen, N. Smith, and T. Wennemo (2002), “Income Inequality and Income Mobility in the Scandinavian Countries Compared to the United States,” Review of Income and Wealth, 48, 443–469.
    Bager-Sjögren, L. and N. A. Klevmarken (1998), “Inequality and Mobility of Wealth in Sweden 1983/84–1992/93,” Review of Income and Wealth, 44, 473–495.
    Bartholomew, D. J. (1982), Stochastic Models for Social Processes, 3rd ed. New York: John Wiley & Sons, Inc.
    Barton, A., R. Drummond, and P. Matejic (2013), Low-Income Dynamics 1991-2008 (Great Britain), London: Department for Work and Pensions.
    Becker, G. S., S. D. Kominers, K. M. Murphy, and Jörg L. Spenkuch (2018), “A Theory of Intergenerational Mobility,” Journal of Political Economy, 126, 7–25.
    Berg, K. and S. Hebous (2021), “Does a Wealth Tax Improve Equality of Opportunity? Evidence from Norway,” IMF Working Paper, No. 2021/085.
    Bibby, J. (1975), “Methods of measuring mobility,” Quality & Quantity: International Journal of Methodology, 9, 107–136.
    Bénabou, R. (2000), “Meritocracy, Redistribution and the Size of the Pie,” In Arrow, K., Bowles, S. and Durlauf, S. (eds), Meritocracy and Economic Inequality, Princeton, NJ: Princeton University Press, 317–339.
    Bénabou, R. and E. A. Ok (2001), “Mobility as Progressivity: Ranking Income Processes According to Equality of Opportunity,” NBER Working Papers 8431.
    Black, S. and P. Devereux (2011), “Recent Developments in Intergenerational Mobility,” in D. Card and O. Ashenfelter (eds), Handbook of Labor Economics, Amsterdam: Elsevier, 4b, 1487–1541.
    Björklund, A. and M. Jäntti (1997), “Intergenerational Income Mobility in Sweden Compared to the United States,” The American Economic Review, 87, 1009–1018.
    Bowles, S., S. N. Durlauf, and K. Hoff (2006), Poverty Traps, Princeton: Princeton University Press.
    Bourdieu, J., L. Kesztenbaum, G. Postel-Vinay, and A. Suwa-Eisenmann (2019), “Intergenerational wealth mobility in France, 19th and 20th century,” Review of Income and Wealth, 65, 21–47.
    Carroll, D. R. and N. Hoffman (2017), “New Data on Wealth Mobility and Their Impact on Models of Inequality,” Economic Commentary, Federal Reserve Bank of Cleveland, issue June.
    Carroll, D. R. and E. R. Young (2016), “Mobility,” Federal Reserve Bank of Cleveland, Working Paper no. 16–34.
    Castaneda, A., J. Díaz-Giménez, and J.-V. Ríos-Rull (2003), “Accounting for the U.S. Earnings and Wealth Inequality,” Journal of Political Economy, 111, 818–857.
    Chetty, R., N. Hendren, P. Kline, and E. Saez (2014), “Where is the Land of Opportunity? The Geography of Intergenerational Mobility in the United States,” Quarterly Journal of Economics, 129, 1553–1623.
    Chu, Cyrus, K. Kan, and J. C. Lin (2019), “Variations of Wealth Resemblance by Family Relationship Types in Modern Chinese Families,” Proceedings of the National Academy of Sciences, 116(14), 6548–6553.
    Chu, Luke and M.-J. Lin (2020), “Intergenerational Earnings Mobility in Taiwan: 1990–2010,” Empirical Economics, 59, 11–45.
    Chakravarty, S.R., N. Chattopadhyay, N. Lustig and R. Aranda (2020), “Measuring Directional Mobility: The Bartholomew and Prais-Bibby Indices Reconsidered,” in Rodríguez, J.G. and J.A. Bishop (Ed.), Inequality, Redistribution and Mobility, Bingley: Emerald Publishing Limited, 28, 75–96.
    Čihák, M. and R. Sahay (2020), “Finance and Inequality,” IMF Staff Discussion Notes, No. 20/01.
    Clark, G. and N. Cummins (2014), “Intergenerational Wealth Mobility in England, 1858–2012: Surnames and Social Mobility,” Economic Journal, 125, 61–85.
    Conlisk, J. (1990), “Monotone Mobility Matrices,” Journal of Mathematical Sociology, 15, 173–191.
    Corak M. (2006), “Do Poor Children Become Poor Adults? Lessons from a Cross Country Comparison of Generational Earnings Mobility,” Dynamics of Inequality and Poverty, 13, 143–188.
    Corak M. (2013), “Income Inequality, Equality of Opportunity, and Intergenerational Mobility,” Journal of Economic Perspectives, 27, 79–102.
    Corak, M. (2016), “Inequality from Generation to Generation: The United States in Comparison,” IZA Discussion Papers 9929, Institute of Labor Economics (IZA).
    Dabla-Norris, E., K. Kochhar, N. Suphaphiphat, F. Ricka, and E. Tsounta (2015), “Causes and Consequences of Income Inequality; A Global Perspective,” IMF Staff Discussion Notes, No. 15/13.
    Dahl, M. and T. DeLeire (2008), “The Association between Children’s Earnings and Fathers’ Lifetime Earnings: Estimates Using Administrative Data,” Institute for Research on Poverty, University of Wisconsin-Madison, 2008.
    Díaz-Giménez, J., A. Glover, and J.-V. Ríos-Rull (2011), “Facts on the Distributions of Earnings, Income, and Wealth in the United States: 2007 Update,” Quarterly Review, Federal Reserve Bank of Minneapolis, 34(1), 2–31.
    Evan S. and G. Brent (2020), “Binned scatterplots: A simple tool to make research easier and better.” Strategic Management Journal, 41, 2261–2274.
    Erikson, R. and J. H. Goldthorpe (2002), “Intergenerational Inequality: A Sociological Perspective,” Journal of Economic Perspectives, 16, 31–44.
    Fields, G. S. and E. A. Ok (1999), “The Measurement of Income Mobility: an Introduction to the Literature,” in Handbook of Income Inequality Measurement, Dordrecht: Springer Netherlands, 71, 557–598.
    Freeman, R. and L. F. Katz (1995), Differences and Changes in Wage Structures, Chicago, IL: University of Chicago Press and NBER.
    Gottschalk, P. and T. M. Smeeding (1997), “Cross-National Comparisons of Earnings and Income Inequality” Journal of Economic Literature, 35, 633–687.
    Gregg, P., L. Macmillan, and C. Vittori (2017b), “Moving Towards Estimating Lifetime Intergenerational Economic Mobility in the UK,” Oxford Bulletin of Economics & Statistics, 79, 79–100.
    Haider, S. and G. Solon (2006), “Life-Cycle Variation in the Association between Current and Lifetime Earnings,” American Economic Review, 96, 1308–1320.
    Hurst, E., F. P. Stafford, and M. C. Luoh (1998), “The Wealth Dynamics of American Families, 1984-94,” Brookings Papers on Economic Activity, 29, 267–338.
    IMF Blog (2019), “Tackling Income Inequality Requires New Policies,” IMF Blog, International Monetary Fund, 2019/5/15.
    Jantti, M. and S. Jenkins (2015), “Income mobility,” in A. B. Atkinson and F. Bourguignon (eds), Handbook of Income Distribution, North-Holland: Elsevier, 2A, 807–935.
    Jerrim, J. and L. Macmillan (2015), “Income Inequality, Intergenerational Mobility, and the Great Gatsby Curve: Is Education the Key?” Social Forces, 94, 505–533.
    Jerrim, J., A. Choi, and R. Simancas, (2016), “Two-Sample Two-Stage Least Squares (TSTSLS) Estimates of Earnings Mobility: How Inconsistent Are They?” Survey Research Methods, 10, 85–102.
    Kim, E. J., S. D. Hanna, S. Chatterjee, and S. Lindamood (2012), “Who Among the Elderly Owns Stocks? The Role of Cognitive Ability and Bequest Motive,” Journal of Family and Economic Issues, 33, 338–352.
    Loury, G. C. (1981), “Intergenerational Transfers and the Distribution of Earnings,” Econometrica, 49, 843–867.
    Mazumder, B. (2005), “Fortunate Sons: New Estimates of Intergenerational Mobility in the United States Using Social Security Earnings Data” Review of Economics and Statistics, 87, 235–255.
    Menchik, P. L. (1979), “Inter-generational Transmission of Inequality: An Empirical Study of Wealth Mobility,” Economica, 46, 349–362.
    Meyer, C. D. (1978), “An Alternative Expression for the Mean First Passage Matrix,” Linear Algebra and its Applications, 22, 41–47.
    Mitnik, P. A. and D. B. Grusky (2020), “The Intergenerational Elasticity of What? The Case for Redefining the Workhorse Measure of Economic Mobility,” Sociological Methodology, 50, 47–95.
    Motta, V. (2019), “Estimating Poisson Pseudo Maximum-likelihood Rather Than Log-linear model of a Logtransformed Dependent Variable,” RAUSP Management Journal, 54(4), 508–518.
    Nybom, M. and J. Stuhler (2017), “Biases in Standard Measures of Intergenerational Income Dependence,” Journal of Human Resources, 52, 500–825.
    Pfeffer, F. T. and A. Killewald (2018), “Generations of Advantage. Multigenerational Correlations in Family Wealth,” Social Forces, 96, 1411–1442.
    Piketty, T. (2011), “On the Long-run Evolution of Inheritance: France 1820–2050,” Quarterly Journal of Economics, 126, 1071–1131.
    Prais S. J. (1955), “Measuring Social Mobility,” Journal of the Royal Statistical Society, 118, 56–66.
    Peters, H. E. (1992), “Patterns of Intergenerational Mobility in Income and Earnings,” The Review of Economics and Statistics, 74, 456–466.
    Saez, E. and G. Zucman (2020), “The Rise of Income and Wealth Inequality in America: Evidence from Distributional Macroeconomic Accounts,” Journal of Economic Perspectives, 34(4), 3–26.
    Sharlet, J. (2011), “Inside Occupy Wall Street,” Rolling Stone, 2011/11/10.
    Shorrocks A. F. (1978), “The Measurement of Mobility,” Econometrica, 46, 1013–1024.
    Sarfati, H. (2015), “In It Together: Why Less Inequality Benefits All,” International Social Security Review, Paris: OECD Publishing, 68, 115–117.
    Siegel, S. (1956), “Non-parametric Statistics for the Behavioral Sciences,” New York: McGraw-Hill, 75–83.
    Silva, J. M. C. S. and S. Tenreyro (2006), “The Log of Gravity,” Review of Economics and Statistics, 88, 641–658.
    Silva, J. M. C. S. and S. Tenreyro (2011), “Further Simulation Evidence on the Performance of the Poisson Pseudo-maximum Likelihood Estimator,” Economics Letters, 112, 220–222.
    Solon, G. (1992), “Intergenerational Income Mobility in the United States,” American Economic Review, 82, 393–408.
    Solon, G. (1999), “Intergenerational Mobility in the Labor Market,” in O. Ashenfelter and D. Card (eds), Handbook of Labor Economics, Amsterdam: Elsevier, 3, 1761–1800.
    Solon, G. (2002), “Cross-Country Differences in Intergenerational Earnings Mobility,” Journal of Economic Perspectives, 16, 59–66.
    Solon, G. (2015), “What Do We Know So Far about Multigenerational Mobility?” NBER Working Papers, No. 21053.
    Sommers, P. M. and J. Conlisk (1979), “Eigenvalue Immobility Measures for Markov Chains,” Journal of Mathematical Sociology, 6, 253–276.
    Wilcoxon, F. (1945), “Individual Comparisons by Ranking Methods,” Biometrics Bulletin, 1, 80–83.
    Zimmerman, D. J. (1992), “Regression Toward Mediocrity in Economic Stature,” American Economic Review, 3, 409–429.
    描述: 碩士
    國立政治大學
    財政學系
    108255011
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0108255011
    数据类型: thesis
    DOI: 10.6814/NCCU202201235
    显示于类别:[財政學系] 學位論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    501101.pdf1692KbAdobe PDF221检视/开启


    在政大典藏中所有的数据项都受到原著作权保护.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈