NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH

Unemployment Insurance Tax Burdens and Benefits: Funding Family Leave and Reforming the Payroll Tax

Patricia M. Anderson, Bruce D. Meyer

NBER Working Paper No. 10043*
Issued in October 2003
NBER Program(s):   LS    PE

We examine the distributional consequences of the UI payroll tax using representative individual microdata. We calculate taxes paid by individual wage and individual and household income deciles, incorporating the effects of multiple job holding and turnover. This tax distribution is compared with the distribution of UI benefits and benefits net of taxes, as well as to the burdens imposed by the federal income tax. We conclude that the UI payroll tax is indeed quite regressive. Within the context of the regular UI program, this regressivity is offset by the progressive nature of benefits, leaving the net benefit distribution progressive. We simulate a revenue-neutral increase to the OASDI level of the taxable wage base. The share of total UI taxes paid becomes fairly equal, and net benefits become positive across more deciles. Finally, we examine the effect of providing family leave within the UI system as recently proposed. We find that the share of such benefits going to relatively high-income groups is likely to be much larger than is the case for regular UI benefits.

*Published: Anderson, Patricia M. and Bruce D. Meyer. "Unemployment Insurance Tax Burdens And Benefits: Funding Family Leave And Reforming The Payroll Tax," National Tax Journal, 2006, v59(1,Mar), 77-95.

You may purchase this paper on-line in .pdf format from SSRN.com ($5) for electronic delivery.

Information about Free Papers

You should expect a free download if you are a subscriber, a corporate associate of the NBER, a journalist, a site with your domain name in ".GOV", or a resident of nearly any developing country or transition economy.

If you usually get free papers at work/university but do not at home, you can either connect to your work VPN or proxy (if any) or elect to have a link to the paper emailed to your work email address below. The email address must be connected to a subscribing college, university, or other subscribing institution. Gmail and other free email addresses will not have access.

E-mail:

Machine-readable bibliographic record - MARC, RIS, BibTeX

 
Publications
Activities
Meetings
Data
People
About

National Bureau of Economic Research, 1050 Massachusetts Ave., Cambridge, MA 02138; 617-868-3900; email: info@nber.org