The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data
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.
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Copy CitationSarah Bana, Kelly Bedard, and Maya Rossin-Slater, "The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data," NBER Working Paper 24438 (2018), https://doi.org/10.3386/w24438.Download Citation
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Published Versions
Sarah H. Bana & Kelly Bedard & Maya Rossin‐Slater, 2020. "The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data," Journal of Policy Analysis and Management, vol 39(4), pages 888-929. citation courtesy of 
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