Family Friendly: How Are Firms and Establishments Affected by State Paid Family Leave Programs?

大多数工人在工作生涯中的某个时候都经历过为人父母的经历。研究表明，在组建家庭期间，职业成果方面的性别差距尤其迅速扩大。提供带薪育儿假以帮助雇员同时承担工作和家庭责任，通常被提倡作为政策反应。然而，人们对带薪育儿假如何影响雇主知之甚少，特别是这些影响如何因公司类型而异。该项目使用独特而新颖的大规模雇主-家庭数据集研究了州一级带薪家庭假对美国公司和机构的影响。研究结果将显示家族决策如何与国家层面的政策相互作用，以及这一过程如何影响公司的运营和成功。这些发现为美国正在进行的带薪休假政策辩论提供了更广泛的信息，以及公共政策如何影响商业决策。因此，这项研究将改善企业和家庭的钟声，从而提高美国人的生活水平。这项研究将构建一个复杂的大规模数据库，以分析州一级带薪休假对美国企业和机构的影响。我们利用带薪休假政策已经在一些州（CA，NJ和RI）实施的事实，而不是其他州，而大公司在带薪休假州和无薪休假州都有机构。这个吗？自然实验？有助于使用差异中的差异方法进行因果分析。分析是基于纵向雇主-家庭动态（LEHD）数据库，该数据库将与其他公司和机构一级的数据源相关联。总之，这些数据包含了关于企业和公司层面结果的丰富信息，如员工流动率、劳动力构成、企业生存和增长、劳动生产率和销售收入。获得带薪休假政策对这些公司结果的影响的因果估计可以大大有助于围绕带薪休假问题的社会和政策辩论。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Most workers experience parenthood at some point during their work careers. Studies show that gender gaps in career outcomes increase particularly rapidly during the years of family formation. Provision of paid parental leave to help employees meet both work and family responsibilities is usually advocated as the policy response. However, little is known about how paid parental leave affects employers particularly how these impacts differ by firm type. This project studies the effects of state-level paid family leave on U.S. firms and establishments using a unique and novel large-scale employer-household data set. The results will show how family decision-making interacts with state-level policy, and how this process affects the operation and success of companies. These findings which informs the ongoing policy debate on paid leave in the United States more broadly and how public policies affect business decisions. The research will therefore improve the bell-being of firms and households, hence improve the living standards of Americans. This research will construct a complex, large-scale database to analyze the impact of state-level paid leave on U.S. firms and establishments. We utilize the fact that paid leave policies have been implemented in some states (CA, NJ, and RI), but not others, while large firms have establishments in both paid-leave states and non-paid leave states. This ?natural experiment? facilitates a causal analysis using a differences-in-differences approach. The analyses are based on the Longitudinal Employer-Household Dynamics (LEHD) database that will be linked to other firm- and establishment level data sources. Together, the data contain rich information on establishment and firm level outcomes such as employee turnover, workforce composition, establishment survival and growth, labor productivity, and sales revenue. Obtaining causal estimates for the impact of paid leave policies on these firm outcomes can significantly contribute to the social and policy debate around the paid leave issues. The results show how public policy interacts with business decisions to improve the livings standards of U.S. citizens.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.