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    经济经纬 2017 Issue (4) :135-140
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    中国的教育回报率是如何分布的?——基于分位数回归的实证分析
    龙翠红
    华东师范大学 经济与管理学部,上海 200241
    How Are Rates of Return to Education Distributed in China?—An Empirical Analysis Based on Quantile Regression Model
    LONG Cui-hong
    Faculty of Economics and Management, East China Normal University, Shanghai 200241, China
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摘要 使用2011年中国健康和营养调查数据库(CHNS),利用分位回归方法,探讨收入条件分布不同分位点的教育回报率分布特征。研究发现随着收入条件分布各分位点的升高,教育回报率逐渐下降,在低分位点上,相应的教育回报率较高,而在高分位点上,教育回报率相对较低,说明教育扩展对提高低收入人群的收入是有利的;对不同的教育层次而言,接受初、高中教育对改善低收入群体的收入状况没有明显作用,接受职业教育和大学及以上的高等教育能够有效缩小与高收入阶层的差距;此外劳动力市场特征、就业特征在各收入分位点均对教育回报率有非常显著的影响。结论表明教育扩展政策本身不会导致居民收入差距扩大,由于职业性质以及劳动力市场分割特征等因素带来的不同,受教育程度的回报率变化比受教育程度本身的变化对收入分配可能产生更大的影响。要使得教育回报率真正反映生产率的差异,需要缩小不同部门的工资差异,改善劳动力市场的扭曲状况。
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龙翠红
关键词教育回报率   分位数回归   收入分布     
Abstract: Based on CHNS 2011, the paper used quantile regression model to explore the distribution characteristics of rates of return to education in different quantiles of income distribution. The results show that the rates of return to education become lower as the quantiles of income distribution get higher. In low quantiles, the corresponding rates of return are higher, while in high quantiles, the rates of return are relatively low, which indicates that low income groups benefit more from education expansion to increase their income. In terms of education levels, junior and senior high school education has no obvious effects on improving the income of low income groups, while they can narrow the income gap by accepting vocational education, university education or above. In addition, the labor market characteristics and employment features have a significant effect on the rate of return to education in each quantile of income. The conclusions of this paper are as follows: education expansion policy itself does not lead to the income gap among residents, while the changing rates of return to different education levels due to labor market characteristics and employment features have greater impact on income distribution than the changed education level itself. In order to reflect the differences of productivity through the rates of return to education, it is needed to reduce the wage differences among different departments and correct the distortion of the labor market.
KeywordsRates of Return to Education   Quantile Regression   Income Distribution     
收稿日期 2017-07-21; 接受日期 2017-07-21;
基金资助:全国教育科学规划项目(CFA130155)
作者简介: 龙翠红(1980— ),女,湖南衡阳人,博士,副教授,主要从事收入分配、经济增长研究。
引用本文:   
龙翠红.中国的教育回报率是如何分布的?——基于分位数回归的实证分析[J].  经济经纬, 2017,4: 135-140
LONG Cui-hong.How Are Rates of Return to Education Distributed in China?—An Empirical Analysis Based on Quantile Regression Model[J]  Economic Survey, 2017,V34(4): 135-140
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