Social Security Contributions and the Business Cycle
Anna Almosova,
Michael Burda and
Simon Voigts
Journal of Macroeconomics, 2020, vol. 65, issue C
Abstract:
We investigate business cycle dynamics of social security contributions (SSC), by far the largest labor tax distortion in the OECD. In most countries, we find a negative covariation of SSC tax burdens with levels and growth of GDP at business cycle frequencies and lower. In detrended data, a decline of GDP of 1% is associated with a 0.05-0.2 percentage point increase in the aggregate SSC burden, measured as a fraction of the wage bill. For most countries, average marginal SSC rates exceed, but track average rates. Changes in average SSC tax burdens are largely due to adjustments in statutory tax schedules rather than cyclical shifts in earnings distributions. Our findings are consistent with Esping-Andersen's (1990) typology of social welfare states. In some countries, SSC rates co-move with measures of the “labor wedge” (Chari et al. 2007, Brinca et al. 2016).
Keywords: Payroll taxation; Social security contributions; Business cycle; Labor wedge; E6; H2; J3 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S016407042030135X
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Social Security Contributions and the Business Cycle (2017) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jmacro:v:65:y:2020:i:c:s016407042030135x
DOI: 10.1016/j.jmacro.2020.103209
Access Statistics for this article
Journal of Macroeconomics is currently edited by Douglas McMillin and Theodore Palivos
More articles in Journal of Macroeconomics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().