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估计儿童技能形成的技术

Estimating the Technology of Children's Skill Formation
National Bureau of Economic Research · 2016 · Francesco Agostinelli、Matthew Wiswall

中文摘要

本文研究儿童技能形成的过程。通过采用动态潜在因子结构,我们说明了对观测指标施加测量约束如何有助于识别技能形成技术的特征。随后,我们利用识别结果构建并估计潜在投资与技能发展的联合动态过程,并允许父母投资与儿童技能在技能生产中存在静态和动态互补性。利用美国数据,我们估计发现,父母投资在儿童早期(5—6岁)的认知技能形成中尤其富有成效。此外,我们发现,对于现有技能水平较低的儿童,这一时期投资的边际生产率显著更高,这表明将干预措施精准投向处境不利的幼儿可能是最优选择。

Abstract

In this paper we study the process of children's skill formation. Using a dynamic latent factor structure, we show how measurement restrictions on observed measures aid the identification of skill technology features. We then use our identification results to develop and estimate the joint dynamic process of latent investment and skill development, allowing for static and dynamic complementarities in skill production between parental investments and children's skills. Using data for the United States, we estimate that parental investments are particularly productive in producing cognitive skills during early childhood (ages 5-6). Moreover, we find that the marginal productivity of investments in this period is substantially higher for children with lower existing skills, suggesting the optimal targeting of interventions to disadvantaged young children.
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