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

53 Pages Posted: 26 Mar 2018 Last revised: 11 Apr 2021

See all articles by Sarah Bana

Sarah Bana

Stanford University

Kelly Bedard

University of California - Department of Economics

Maya Rossin-Slater

University of California, Santa Barbara (UCSB) - Department of Economics

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Date Written: March 2018

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.

Suggested Citation

Bana, Sarah and Bedard, Kelly and Rossin-Slater, Maya, The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data (March 2018). NBER Working Paper No. w24438, Available at SSRN: https://ssrn.com/abstract=3149262

Sarah Bana (Contact Author)

Stanford University ( email )

Stanford, CA 94305
United States

Kelly Bedard

University of California - Department of Economics ( email )

2127 North Hall
Santa Barbara, CA 93106
United States
805-893-5571 (Phone)
805-893-8830 (Fax)

Maya Rossin-Slater

University of California, Santa Barbara (UCSB) - Department of Economics ( email )

2127 North Hall
Santa Barbara, CA 93106
United States

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