Optimal Income Taxation under Unemployment: A Sufficient Statistics Approach
Kavan Kucko,
Johannes Schmieder,
Etienne Lehmann () and
Kory Kroft
Additional contact information
Kavan Kucko: Boston University
No 680, 2015 Meeting Papers from Society for Economic Dynamics
Abstract:
This paper is the first to derive an empirically implementable formula for the optimal income tax, in the presence of unemployment. This formula nests a broad variety of structures of the labor market, such as the standard competitive model with fixed or flexible wages and models with matching frictions. As such, we are able to show that several previously derived optimal tax formulas are nested by this formula. Our theoretical results show that several reduced-form parameters are welfare-relevant: the macro employment elasticity with respect to taxes and the micro and macro participation elasticities with respect to taxes. We estimate all three of these reduced-form parameters using policy variation in tax liabilities stemming from the U.S. tax and transfer system for over 20 years. Since our tax formula is stated in terms of ?sufficient statistics?, we numerically solve for the optimal tax schedule using our empirical estimates and discuss how the results compare to those in the literature. Finally we also provide estimates of how employment and participation elasticities vary over the business cycle that suggest ? together with our theoretical results ? that in recessions the optimal tax schedule looks more like a Negative Income Tax (NIT) and less like an Earned Income Tax Credit (EITC).
Date: 2015
New Economics Papers: this item is included in nep-pbe and nep-pub
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://red-files-public.s3.amazonaws.com/meetpapers/2015/paper_680.pdf (application/pdf)
Related works:
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:red:sed015:680
Access Statistics for this paper
More papers in 2015 Meeting Papers from Society for Economic Dynamics Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christian Zimmermann ().