Economic freedom determinants across U.S. states: A Bayesian model averaging approach
James W. Saunoris and
James Payne
Applied Economics, 2024, vol. 56, issue 37, 4471-4480
Abstract:
This study examines the potential determinants of state-level economic freedom for a panel of the 50 U.S. states from 1994 to 2020. To address model uncertainty in the identification of robust determinants, we use Bayesian model averaging to test the robustness (to the inclusion and exclusion of other determinants) of 17 potential determinants that have been recognized in the extant literature. The results show robustness with respect to the positive impact of the level of per capita real income and its growth, fiscal decentralization and neighbouring state economic freedom, whereas per capita fossil fuel production, population density, unemployment rate and democratic governorships have a negative impact. The remaining determinants were not robustly associated with economic freedom.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2023.2211343 (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:applec:v:56:y:2024:i:37:p:4471-4480
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036846.2023.2211343
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().