Convergence of shadow economy across U.S. states
Chin Man Chui,
Nnaelue Godfrey Ojijieme,
Yujing Cai and
Cody Yu-Ling Hsiao
Applied Economics Letters, 2025, vol. 32, issue 15, 2133-2137
Abstract:
Using a novel shadow economy measure constructed from a two-sector dynamic deterministic general equilibrium model, this paper provides the first piece of evidence on the convergence dynamics of the shadow economy at the U.S. state level over the period 1999–2019. The result of the panel club convergence test demonstrates the absence of absolute convergence but also identifies the presence of six club memberships without an apparent regional conglomeration. Further analysis based on the ordered logit regression uncovers that factors such as gross state product, the share of higher education, government size, the share of union participation, capital tax rate, institutional quality, and unemployment rate significantly influence the club membership of the shadow economy. Understanding these findings is imperative for developing policies to curtail the spread of shadow economies across the states in the U.S.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2024.2332547 (text/html)
Access to full text is restricted to subscribers.
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:taf:apeclt:v:32:y:2025:i:15:p:2133-2137
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20
DOI: 10.1080/13504851.2024.2332547
Access Statistics for this article
Applied Economics Letters is currently edited by Anita Phillips
More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().