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首页> 外文期刊>Journal of the European Economic Association >GENES, EDUCATION, AND LABOR MARKET OUTCOMES: EVIDENCE FROM THE HEALTH AND RETIREMENT STUDY
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GENES, EDUCATION, AND LABOR MARKET OUTCOMES: EVIDENCE FROM THE HEALTH AND RETIREMENT STUDY

机译:基因,教育和劳动力市场成果:健康和退休研究的证据

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摘要

Recent advances have led to the discovery of specific genetic variants that predict educational attainment. We study how these variants, summarized as a linear index-known as a polygenic score-are associated with human capital accumulation and labor market outcomes in the Health and Retirement Study (HRS). We present two main sets of results. First, we find evidence that the genetic factors measured by this score interact strongly with childhood socioeconomic status in determining educational outcomes. In particular, although the polygenic score predicts higher rates of college graduation on average, this relationship is substantially stronger for individuals who grew up in households with higher socioeconomic status relative to those who grew up in poorer households. Second, the polygenic score predicts labor earnings even after adjusting for completed education, with larger returns in more recent decades. These patterns suggest that the genetic traits that promote education might allow workers to better accommodate ongoing skill biased technological change. Consistent with this interpretation, we find a positive association between the polygenic score and nonroutine analytic tasks that have benefited from the introduction of new technologies. Nonetheless, the college premium remains a dominant determinant of earnings differences at all levels of the polygenic score. Given the role of childhood SES in predicting college attainment, this raises concerns about wasted potential arising from limited household resources.
机译:最近的进步导致发现了预测教育程度的特定遗传变异。我们研究了这些变体如何总结为一种线性索引,称为与人力资本积累和劳动力市场成果相关的多基因评分,而健康和退休研究(HRS)。我们提出两种主要结果集。首先,我们发现证据表明,通过该分数测量的遗传因素在确定教育结果时与儿童社会经济地位强烈相互作用。特别是,尽管多基因分数可以预测平均而言,这种关系对于在社会经济地位较高的家庭中长大的人来说,相对于在贫困家庭中长大的家庭而言,这种关系要大大牢固。其次,多基因分数即使在调整了完整的教育后,也可以预测劳动收入,并且在最近几十年中的回报较大。这些模式表明,促进教育的遗传特征可能会使工人更好地适应持续的技能偏见的技术变革。与这种解释一致,我们发现多基因评分与非例子分析任务之间受益于新技术的积极关联。尽管如此,大学保费仍然是多基因评分各级收益差异的主要决定因素。鉴于童年SE在预测大学成就方面的作用,这引起了人们对家庭资源有限引起的浪费潜力的担忧。

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