Government size and economic freedom as determinants of growth: Evidence based on the Heritage Foundation data
Ebrahim Merza ()
Humanities and Social Sciences Letters, 2023, vol. 11, issue 2, 155-166
Abstract:
The objective of this paper was to find out if government size is detrimental to economic growth as it is often claimed. This issue was investigated by using extreme bounds analysis to overcome the problem of model uncertainty and the sensitivity of the results to the selected set of explanatory variables. By also using non-nested model selection tests as applied to data obtained from the Heritage Foundation (an American conservative think tank based in Washington, D.C. that is primarily geared toward public policy), cross-sectional evidence was presented in support of the proposition that government size is detrimental to economic growth. In particular, government spending turns out to be the most important determinant of economic growth, dominating the rule of law, regulatory efficiency and market openness. Two caveats must be borne in mind when these results are interpreted: (i) what matters is the quality, not the quantity, of government spending; and (ii) a big government can be good for business. The results presented in this study provide further evidence on a controversial issue and some guidelines for policy makers concerned with economic growth.
Keywords: Economic freedom; Economic growth; Extreme bounds analysis; Free market; Government spending; Non-nested tests. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://archive.conscientiabeam.com/index.php/73/article/view/3314/7457 (application/pdf)
https://archive.conscientiabeam.com/index.php/73/article/view/3314/7601 (text/html)
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:pkp:hassle:v:11:y:2023:i:2:p:155-166:id:3314
Access Statistics for this article
More articles in Humanities and Social Sciences Letters from Conscientia Beam
Bibliographic data for series maintained by Dim Michael ().