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    政大機構典藏 > 商學院 > 統計學系 > 學位論文 >  Item 140.119/153367
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/153367


    Title: 所得的分位數迴歸和空間統計分析
    Quantile regression and spatial statistical analysis of income
    Authors: 李承翰
    Lee, Cheng-Han
    Contributors: 鄭宗記
    Cheng, Tsung-Chi
    李承翰
    Lee, Cheng-Han
    Keywords: 所得分析
    分位數迴歸
    空間統計
    Quantiles Regression for longitudinal data
    Spatial Statistics
    Moran's I
    Spatial Weight Matrix
    Date: 2024
    Issue Date: 2024-09-04 14:56:59 (UTC+8)
    Abstract: 所得收入不平等是當今許多經濟學和社會科學研究的焦點問題。了解導致所得收入不平等的原因對於制定有效政策、促進經濟均衡發展具有重要意義。本研究將分別使用分位數迴歸和空間統計分析方法,深入探討不同解釋變數在不同分位數下對所得收入的影響。透過分位數迴歸,我們能夠揭示不同影響因素(如教育水準、職業類型等)對於不同所得分位數的影響差異,從而更精確地理解收入分配的不平等現象。同時,透過空間統計分析,我們將觀察地理區域對所得的潛在影響,地理位置可能通過資源分配、區域經濟結構和市場機制等方面對個體的收入產生顯著影響,這種影響在不同地區可能存在顯著差異。根據分位數迴歸和空間統計分析的結果,本研究旨在研究所得收入的影響因素,以供政策制定者在針對緩解收入不平等問題制定因應措施,解決不平等的問題。
    Reference: 內政部社經資料服務平台. (2024). 2011年至2021年台灣各鄉鎮市區相關統計數據. 取得自內政部社經資料服務平台:https://segis.moi.gov.tw/STATCloud/Index
    財政部財政資訊中心. (2024). 2010年至2021年台灣各鄉鎮市區所得中位數資料. 取得自財政部財政資訊中心賦稅資料平台:https://www.fia.gov.tw/
    Alfó, M., Trovato, G., & Waldmann, E. (2017). Estimating generalized linear mixed models by nonparametric maximum likelihood: A Monte Carlo EM approach. Computational Statistics & Data Analysis, 108, 56-68.
    Alfo, M., Marino, M. F., Ranalli, M. G., & Salvati, N. (2023). lqmix: an R package for longitudinal data analysis via linear quantile mixtures. arXiv. https://arxiv.org/abs/2302.11363v2
    Anselin, L. (1988). Spatial econometrics: Methods and models. Springer.
    Baum, L. E., Petrie, T., Soules, G., & Weiss, N. (1970). A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains. The Annals of Mathematical Statistics, 41(1), 164-171.
    Blanchflower, D. G., & Oswald, A. J. (1994). The wage curve. MIT Press.
    Blundell, R., Dearden, L., & Sianesi, B. (2005). Evaluating the effect of education on earnings: Models, methods and results from the National Child Development Survey. Journal of the Royal Statistical Society: Series A (Statistics in Society), 168(3), 473-512.
    Blau, F. D., & Kahn, L. M. (2000). Gender differences in pay. Journal of Economic Perspectives, 14(4), 75-99.
    Bloom, D. E., Canning, D., & Fink, G. (2010). Implications of population aging for economic growth. Oxford Review of Economic Policy, 26(4), 583-612.
    Cai, F., & Wang, M. (2005). Demographic transition: Implications for growth. In The Oxford companion to economics in India (pp. 55-59). Oxford University Press.
    Card, D. (1999). The causal effect of education on earnings. In Handbook of labor economics (Vol. 3, pp. 1801-1863). Elsevier.
    Cliff, A. D., & Ord, J. K. (1973). Spatial autocorrelation. Pion.
    Cressie, N. (1993). Statistics for spatial data. Wiley.
    Cutler, D. M., & Lleras-Muney, A. (2007). Education and health: Evaluating theories and evidence. In Making Americans healthier: Social and economic policy as health policy (pp. 29-60). Russell Sage Foundation.
    Darmofal, D. (2015). Spatial analysis for the social sciences. Cambridge University Press.
    Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society: Series B (Methodological), 39(1), 1-22.
    Elhorst, J. P. (2003). Specification and estimation of spatial panel data models. International Regional Science Review, 26(3), 244-268.
    Faggian, A., McCann, P., & Sheppard, S. (2007). Some evidence that women are more mobile than men: Gender differences in UK graduate migration behavior. Journal of Regional Science, 47(3), 517-539.
    Friedman, M. (1962). Capitalism and freedom. University of Chicago Press.
    Geraci, M., & Bottai, M. (2014). Linear quantile mixed models. Statistics and Computing, 24(3), 461-479.
    Glaeser, E. L., Kallal, H. D., Scheinkman, J. A., & Shleifer, A. (1995). Economic growth in a cross-section of cities. Journal of Monetary Economics, 36(1), 117-143.
    Glaeser, E. L., & Resseger, M. G. (2009). The complementarity between cities and skills. Journal of Regional Science, 50(1), 221-244.
    Gravelle, H. (1998). How much of the relation between population mortality and unequal distribution of income is a statistical artifact? BMJ, 316(7128), 382-385.
    Koenker, R. (2004). Quantile regression for longitudinal data. Journal of Multivariate Analysis, 91(1), 74-89.
    Koenker, R., & Bassett, G. (1978). Regression quantiles. Econometrica, 46(1), 33-50.
    Laird, N. M. (1978). Nonparametric maximum likelihood estimation of a mixing distribution. Journal of the American Statistical Association, 73(364), 805-811.
    Lindsay, B. G. (1983a). The geometry of mixture likelihoods: A general theory. The Annals of Statistics, 11(1), 86-94.
    Lindsay, B. G. (1983b). The geometry of mixture likelihoods, Part II: The exponential family. The Annals of Statistics, 11(3), 783-792.
    McLachlan, G. J., & Peel, D. (2000). Finite mixture models. Wiley.
    Moretti, E. (2004). Estimating the social return to higher education: Evidence from longitudinal and repeated cross-sectional data. Journal of Econometrics, 121(1-2), 175-212.
    Piketty, T. (2014). Capital in the twenty-first century. Harvard University Press
    Slemrod, J. (1990). Optimal taxation and optimal tax systems. Journal of Economic Perspectives, 4(1), 157-178.
    Soja, E. W. (2010). Seeking spatial justice. University of Minnesota Press.
    Ward, M. D., & Gleditsch, K. S. (2008). Spatial Lag and Spatial Error Models. Cambridge University Press
    Yu, K., & Moyeed, R. A. (2001). Bayesian quantile regression. Statistics and Probability Letters, 54(4), 437-447.
    Description: 碩士
    國立政治大學
    統計學系
    111354024
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0111354024
    Data Type: thesis
    Appears in Collections:[統計學系] 學位論文

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