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

Sarah Bana, Kelly Bedard () and Maya Rossin-Slater

No 24438, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: 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.

JEL-codes: I18 J13 J16 J18 (search for similar items in EconPapers)
Date: 2018-03
New Economics Papers: this item is included in nep-dem and nep-lab
Note: CH LS PE
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Citations: View citations in EconPapers (18)

Published as 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.

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Working Paper: The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data (2018)
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