城乡收入差距影响因素的非参数逐点回归解析
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财经研究 2011 年 第 37 卷第 01 期, 页码：102 - 112
摘要
参考文献
摘要
文章利用1987-2008年我国的相关统计数据构建了非参数面板数据模型,采用非参数逐点回归估计方法,估计了我国的教育投入、教育产出、城市化水平、经济开放度、产业结构和政府经济行为等变量对城乡收入差距的影响,刻画了各影响因素关于自变量系数的动态演进趋势。研究表明:各影响因素关于自变量系数的逐点估计结果共有四种类型:"倒U型"、"U型"、"上升型"和"下降型";各影响因素对缩小城乡收入差距都有积极的作用,但在不同时期所起的作用不同。
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[2]姚耀军.金融发展与城乡收入差距关系的经验分析[J].财经研究,2005,2:49-59.
[3]唐礼智,刘喜好,贾璇.我国金融发展与城乡收入差距关系的实证研究[J].农业经济问题,2008,(11):44-48.
[4]沈毅俊,潘申彪.外商直接投资对地区收入差距影响的实证分析[J].国际贸易问题,2008,(2):100-104.
[5]孟翔飞,政府干预对倒U模型的修正研究[J].财经问题研究,2009,(11):14-18.
[6]Kuznets S.Economic growth and income inequality[J].The American Economic Re-view,1955,45(1):1-28.
[7]Gregorio J D,Lee J W.Education and income inequality:New evidence from cross-country data[J].Review of income and wealth,2002,48(3):395-416.
[8]Ullah A,N Roy.Nonparametric and semiparametric econometrics of panel data[A].Aman Ullah,David E A Giles Handbook of Applied Economic Statistics[C].NewYork in the USA:CRC press,1998.
[9]SU L,A Ullah.More efficient estimation of nonparametric panel data models with ran-dom effects[J].Economics Letters,2007,96:375-380.
[10]Henderson D J,R J Carrol,Q LI.Nonparametric estimation and testing of fixed effectspanel data models[J].Journal of Econometrics,2008,144:257-275.
[11]Azomahou T,F Laisney,N Phu.Economic development and CO2 emissions:A non-parametric panel approach[J].Journal of Public Economics,2006,90:1347-1363.
[12]Phu N.Energy consumption and income:A semiparametric panel data analysis[J].Energy Economics,2010,32(3):557-563.
引用本文
段景辉, 陈建宝. 城乡收入差距影响因素的非参数逐点回归解析[J]. 财经研究, 2011, 37(1): 102–112.
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