Disaggregated Earnings Trajectories in the U.S. Labor Market: New Evidence from Linked Longitudinal Data

这个项目调查了美国增长最快的人口群体的经济结果和发展轨迹，特别是其科学和工程方面的劳动力。到目前为止，关于这一群体的劳动力市场经历和轨迹的基本问题还没有达成共识。尽管他们的教育程度很高，但关于他们劳动力市场结果的经验证据是分散的和混合的。此外，这项研究还调查了他们的劳动力市场经历在性别、出生地和国籍方面的分解。这项研究使用了NSF科学家和工程师统计数据系统(SESTAT)中的受限访问链接纵向调查数据，以及人口普查局的纵向雇主-家庭动态(LEHD)数据和十年一次的人口普查/美国社区调查(ACS)数据。这使它能够克服以前的数据限制，这些限制使准确研究这一人口群体中工人的结果和轨迹变得困难。因为多样性是这个群体的一个标志，如果不能对群体进行分类，就会导致有偏见的或不完整的叙述。该项目采用了两种广泛使用的统计方法--多水平增长曲线模型和基于群体的轨迹模型--来表示人群收入轨迹中的个人异质性。这些生命轨迹模型的发现揭示了经济不平等，例如跨越工人的国家血统和代际，以及这个群体和其他人口群体之间的不平等。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project investigates the economic outcomes and trajectories of the fastest growing demographic group in the United States and, in particular, its workforce in science and engineering. To date, there is no consensus on fundamental questions about the labor market experiences and trajectories for this group. Empirical evidence of their labor market outcomes is scattered and mixed despite their high educational attainment. Moreover, this study investigates their labor market experiences disaggregating across gender, nativity, and national origin. The project also yields implications for reductions to barriers to incorporation and intergenerational mobility.This study uses the restricted-access linked longitudinal survey data in NSF's Scientists and Engineers Statistical Data System (SESTAT) and Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD) data and Decennial Census/American Community Survey (ACS) data. This enables it to overcome previous data limitations, which have made it difficult to accurately study the outcomes and trajectories of workers in this demographic group. Because diversity is a hallmark of this population, failing to disaggregate the population results in biased or incomplete narratives. The project adapts two widely used statistical methods—multi-level growth-curve models and group-based trajectory models—to represent individual heterogeneity in earnings trajectories in a population. Findings from these life-course trajectory models reveal economic inequality, such as across workers’ national origin and generation groups, as well as between this and other demographic groups.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.