Collaborative Research: Transgenerational Mobility

本项目调查祖父母对其成年孙辈的影响，独立于父母的影响。 由于遗传学和家庭文化的相关性，可能混淆这些影响也被考虑在内。 这将比仅根据父母与子女的关系对社会流动性进行更彻底的分析。 这一项目将增进社会福祉，方法是增进对关键社会人口结果中不利和有利因素代际传递的程度和模式的了解，这些结果影响到个人、家庭、和社会作为一个整体。这个项目消除了偏见，由于未观察到多代-通过使用犹他州人口数据库中五代人的数据和创新的建模策略，父母和祖父母对儿童的因果影响是通过六个主要的社会人口结果进行评估的：受教育程度、职业、结婚年龄、第一次生育年龄、子女数量和死亡年龄。该项目有四个贡献。 首先，模型的多代关系，包括未观察到的多代相关的禀赋控制将开发和估计。其次，通过包括比以前的研究更完整的每一代成员，直到曾曾祖父母，测量误差偏差将减少。第三，将分析儿童的性别和母亲与父亲的血统对多代效应的影响。最后，交叉效应的重要性，也就是说，包括许多父母和祖父母的社会人口变量的影响，以及在何种程度上，他们减少分析偏差将调查。这个奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

This project investigates the effects of grandparents on the outcomes of their adult grandchildren, independent of parental influences. Correlations due to genetics and family culture that may confound these effects also are taken into account. This will give a more thorough analysis of social mobility than that obtained solely on the basis of parent-child relations. This project will enhance the well-being of society by increasing understanding of the degree and pattern of intergenerational transmission of disadvantages and advantages in key sociodemographic outcomes, which affect the well-being of individuals, families, and society as a whole.This project eliminates bias due to unobserved multigenerationally-correlated endowments through use of data on five generations available in the Utah Population Database and an innovative modeling strategy. Causal effects of parents and grandparents on children are assessed across six major sociodemographic outcomes: schooling attainment, occupation, age at marriage, age at first birth, number of children, and age at death. The project makes four contributions. First, models of multigenerational relations that incorporate controls for unobserved multigenerationally-correlated endowments will be developed and estimated. Second, measurement error biases will be reduced by including more complete sets of members of each previous generation, up to great-great grandparents, than in prior studies. Third, the effects of sex of children and of maternal versus paternal lineage on multigenerational effects will be analyzed. Finally, the importance of cross effects, that is, effects of including many parental and grandparental sociodemographic variables, and the extent to which they reduce analytical bias will be investigated.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.