revised version published in: Southern Economic Journal, 2016, 83 (2), 501-526
Employer mandates and other labor demand/supply shocks typically have small effects on wages and employment. These effects should be more discernible using data on employment transitions and wages among new hires rather than incumbents. The Quarterly Workforce Indicators (QWI) dataset provides county by quarter by demographic group data on the number and earnings of new hires, separations, and recalls (i.e., extended leaves). We use the QWI to examine the labor market effects of California's paid family leave (CPFL) policy. Implemented in July 2004, it was the first such policy mandated in the U.S.
The analysis compares outcomes for young women in California to those for other workers in California and to workers throughout the U.S. Relative earnings for young female new hires were largely unaffected by CPFL. We find strong evidence that separations (of at least three months) and hiring of young women increased substantively. Many young women who separated later returned to the same firm. CPFL appears to have led not only to increased time with children, but also to a decline in job lock, enhanced mobility, and increased worker flows following universal paid family leave.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.