摘要
AK91用出生季度作工具变量估计教育回报率,在引起众多质疑的同时,也推动了微观经济计量学的一个活跃领域——探讨弱工具问题。本文使用2005年中国人口1%抽样调查数据,重新讨论了教育回报率的2SLS估计中,“出生季度”是否为弱工具变量问题:在发达国家,完成高中阶段教育者在队列人口中比例过高,导致出生季度对教育变异的影响很小,因此,出生季度可能是个弱工具变量;在发展中国家,能够进入高中阶段学习者,在队列人口中不到一半,出生季度对教育变异的影响很大,因此,是个强工具变量。重新估计的结果显示,2SLS估计及其改进形式得到的教育系数显著高于OLS估计值。除了“数据质量”,模型误设可能是AK91遭遇弱工具的另一个原因。
Using the 1% population sample survey data newly collected in 2005, this paper answers a theoretical question that attracts labor economists and micro-econometricians: is quarter-of-birth really a weak instrumental variable? In developed countries where very few individuals do not finish high school, the effect of quarter-of-birth on the variation of education is very small. Thus, the problem of quarter-of-birth being a weak instrument appears. However, in developing countries, more than half of the population do not enter high school. As a result, quarter-of-birth does significantly affect the variation in educational attainments and serves as a strong instrumental variable.
出处
《经济学(季刊)》
2010年第1期661-686,共26页
China Economic Quarterly
基金
中国社会科学院重点课题《中国城镇非正规就业问题》的资助
关键词
工具变量
弱工具
教育收益率
Instrumental Variable, Weak Instruments, Return to Education