Nikolov Plamen, Jimi Nusrat, Chang Jerray
State University of New York (at Binghamton), USA.
Harvard Institute for Quantitative Social Science.
Labour Econ. 2020 Aug;65. doi: 10.1016/j.labeco.2020.101849. Epub 2020 May 21.
Numerous studies have considered the important role of cognition in estimating the returns to schooling. How cognitive abilities affect schooling may have important policy implications, especially in developing countries during periods of increasing educational attainment. Using two longitudinal labor surveys that collect direct proxy measures of cognitive skills, we study the importance of specific cognitive domains for the returns to schooling in two samples. We instrument for schooling levels and we find that each additional year of schooling leads to an increase in earnings by approximately 18-20 percent. The estimated effect sizes-based on the two-stage least squares estimates-are above the corresponding ordinary least squares estimates. Furthermore, we estimate and demonstrate the importance of specific cognitive domains in the classical Mincer equation. We find that executive functioning skills (i.e., memory and orientation) are important drivers of earnings in the rural sample, whereas higher-order cognitive skills (i.e., numeracy) are more important for determining earnings in the urban sample. Although numeracy is tested in both samples, it is only a statistically significant predictor of earnings in the urban sample.
众多研究探讨了认知在估算教育回报方面的重要作用。认知能力如何影响教育可能具有重要的政策意义,尤其是在教育程度不断提高的发展中国家。利用两项纵向劳动力调查收集的认知技能直接代理指标,我们在两个样本中研究了特定认知领域对教育回报的重要性。我们对教育水平进行了工具变量估计,发现每多接受一年教育,收入会增加约18%至20%。基于两阶段最小二乘法估计的效应量高于相应的普通最小二乘法估计。此外,我们在经典的明瑟方程中估计并证明了特定认知领域的重要性。我们发现,执行功能技能(即记忆和定向)是农村样本中收入的重要驱动因素,而高阶认知技能(即算术能力)在城市样本中对收入的决定更为重要。虽然两个样本都测试了算术能力,但它只是城市样本中收入的一个具有统计学意义的预测指标。