The role of tax competitiveness and neutrality in shaping the size of the shadow economy: cross-country empirical evidence
James W. Saunoris () and
Zarina Nurmanova
Additional contact information
James W. Saunoris: Eastern Michigan University
Zarina Nurmanova: Eastern Michigan University
Journal of Economics and Finance, 2025, vol. 49, issue 1, No 5, 95-118
Abstract:
Abstract This empirical paper examines the relationship between the tax competitiveness and neutrality of a country’s tax system and the size of shadow economies across countries. Utilizing panel data from 38 OECD countries spanning the years 2014 to 2017 and a two-way fixed effects two-stage least squares estimation, the findings reveal that heightened tax competition is associated with a smaller shadow economy and this effect is both statistically significant and economically important.
Keywords: Tax competition; Shadow economy; Cross-country data; Instrumental variables (search for similar items in EconPapers)
JEL-codes: E26 H21 P37 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s12197-024-09695-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:jecfin:v:49:y:2025:i:1:d:10.1007_s12197-024-09695-6
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/12197/PS2
DOI: 10.1007/s12197-024-09695-6
Access Statistics for this article
Journal of Economics and Finance is currently edited by James Payne
More articles in Journal of Economics and Finance from Springer, Academy of Economics and Finance Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().