The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data

The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data
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DOI:
10.1002/pam.22242
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发表时间:
2020-08-05
影响因子:
3.8
通讯作者:
Rossin-Slater, Maya
Rossin-Slater, Maya
中科院分区:
管理学3区
文献类型:
--
作者:
Bana, Sarah H.;Bedard, Kelly;Rossin-Slater, Maya

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我们使用10年的加州行政数据与回归扭结设计,以估计的因果关系的影响,在第一个国家级的带薪家庭假计划的妇女与收入接近最高福利门槛。我们没有发现任何证据表明,更高的每周福利金额(WBA)增加休假时间或导致不利的未来劳动力市场的结果,这一组。相比之下,我们的文件表明,WBA的上升导致返回休假前公司的可能性增加(以任何就业为条件),并随后提出带薪家庭假申请。
We use 10 years of California administrative data with a regression kink design to estimate the causal impacts of benefits in the first state-level paid family leave program for women with earnings near the maximum benefit threshold. We find no evidence that a higher weekly benefit amount (WBA) increases leave duration or leads to adverse future labor market outcomes for this group. In contrast, we document that a rise in the WBA leads to an increased likelihood of returning to the pre-leave firm (conditional on any employment) and of making a subsequent paid family leave claim.