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基于双胞胎数据的教育收益率估计 被引量:33

Estimates of the Return to Schooling from a Sample of Chinese Twins
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摘要 本文利用从人口抽样调查中生成的16—35岁的双胞胎数据,采用OLS和双胞胎组内差分法估计了教育的收益率及其异质性。主要得到两个结果:第一,在没有纠正测量误差的情况下,混合OLS估计的教育收益率为14%,而组内差分估计仅为4%左右。参照相关研究对结果进行一个简单的修正后,差分估计值也不到6%。这意味着用OLS会高估教育的收益率。第二,那些能力越高、家庭背景越好的个体,越有可能获得更多的教育,同时从教育中获得的收益也越多。 Using a sample of 16--35 year-old twin data generated from 1% Chinese Census data in 2005, we estimated return to education by pooled OLS and within-twin fixed effects model considering the heterogeneity problem. The estimated rate of return is 14% by pooled OLS, while it is reduced to about 4% by within-twin fixed effects model. We construct a method to correct measurement errors by referring to other similar research and the estimator is still less than 6%. In addition, we found individuals with higher abilities and better family backgrounds are more likely to get more education and higher returns to education.
作者 孙志军
出处 《经济学(季刊)》 CSSCI 北大核心 2014年第2期1001-1020,共20页 China Economic Quarterly
基金 北京师范大学"中央高校基本科研业务费专项资金"(2012CXQT11) 北京市哲学社会科学首都教育经济研究基地项目的资助
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