全球智库信息集成服务系统(G2TT): The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w24438
来源ID	Working Paper 24438
	The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data
	Sarah Bana; Kelly Bedard; Maya Rossin-Slater
发表日期	2018-03-26
出版年	2018
语种	英语
摘要	We use ten 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.
主题	Health, Education, and Welfare ; Health ; Labor Economics ; Demography and Aging
URL	https://www.nber.org/papers/w24438
来源智库	National Bureau of Economic Research (United States)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/582111
推荐引用方式 GB/T 7714	Sarah Bana,Kelly Bedard,Maya Rossin-Slater. The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data. 2018.