Human capital and migration: A cautionary tale

IF 9.9 3区 经济学 Q1 ECONOMICS
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引用次数: 0

Abstract

We analyze the impact that the option of migration might have on human capital accumulation. We show that, when the return to education for migrants is lower in the destination than in the origin, the overall incentive to accumulate human capital is reduced as restrictions on migration are relaxed. We use panel data from the Chinese Household Income Project to document that the return to education for rural individuals is lower in urban areas than in rural areas. We then use a difference-in-differences design to show that the 1983 reform that eliminated the strong restriction that existed for rural–urban migration resulted in a reduction of 0.4 years of schooling for rural people in China. Guided by these results, we estimate a life-cycle dynamic discrete choice model of education decisions and circular rural–urban migration in which individuals differ in observable characteristics and unobservable cognitive and non-cognitive skills. We validate the model by showing it is able to replicate the impact estimates from the difference-in-differences specification. Our simulations show that, while it would take a small subsidy (conditional on staying in school) to undo about 40% of the negative effects of the 1983 policy on rural education, the annual subsidy would need to be half of annual earnings to undo the effects entirely.

人力资本与移民:一个警世故事
我们分析了移民选择可能对人力资本积累产生的影响。我们的研究表明,当移民的教育回报率在目的地低于原籍地时,随着移民限制的放宽,人力资本积累的整体动力就会降低。我们利用中国家庭收入项目的面板数据,证明农村人口的教育回报率在城市地区低于农村地区。然后,我们利用差分设计表明,1983 年的改革取消了对农村人口向城市迁移的严格限制,导致中国农村人口的受教育年限减少了 0.4 年。在这些结果的指导下,我们估计了一个关于教育决策和城乡循环迁移的生命周期动态离散选择模型,在这个模型中,个体在可观察特征和不可观察的认知和非认知技能方面存在差异。我们对模型进行了验证,结果表明该模型能够复制差分模型的影响估计值。我们的模拟结果表明,虽然需要少量补贴(以留在学校为条件)才能消除 1983 年政策对农村教育产生的约 40% 的负面影响,但每年的补贴需要达到年收入的一半才能完全消除影响。
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来源期刊
Journal of Econometrics
Journal of Econometrics 社会科学-数学跨学科应用
CiteScore
8.60
自引率
1.60%
发文量
220
审稿时长
3-8 weeks
期刊介绍: The Journal of Econometrics serves as an outlet for important, high quality, new research in both theoretical and applied econometrics. The scope of the Journal includes papers dealing with identification, estimation, testing, decision, and prediction issues encountered in economic research. Classical Bayesian statistics, and machine learning methods, are decidedly within the range of the Journal''s interests. The Annals of Econometrics is a supplement to the Journal of Econometrics.
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