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

Sarah Bana, Kelly Bedard and Maya Rossin‐Slater

Journal of Policy Analysis and Management, 2020, vol. 39, issue 4, 888-929

Abstract: 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.

Date: 2020
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Citations: View citations in EconPapers (14)

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https://doi.org/10.1002/pam.22242

Related works:
Working Paper: The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data (2018)
Working Paper: The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:wly:jpamgt:v:39:y:2020:i:4:p:888-929

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