Identifying the 'deep roots' of economic freedom with implications for policy and economic reform

被引:1
作者
Saunoris, James W. [1 ]
Payne, James E. [2 ]
Sobel, Russell S. [3 ]
机构
[1] Eastern Michigan Univ, Dept Econ, Ypsilanti, MI 48197 USA
[2] Oklahoma State Univ, Spears Sch Business, Stillwater, OK 74078 USA
[3] The Citadel, Baker Sch Business, Charleston, SC 29409 USA
关键词
Economic freedom; Bayesian model averaging; Deep root determinants; Institutions; BMS PACKAGE; INSTITUTIONS; GROWTH; GEOGRAPHY; SELECTION; ORIGINS; PRIORS; IMPACT;
D O I
10.1016/j.jpolmod.2024.09.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
Because of the importance of economic freedom for a country's prosperity and growth, subsequent studies now try to uncover which factors explain the cross-country differences in economic freedom. Based upon Lawson, Murphy, and Powell's (2020) recent literature review we provide the first empirical examination of the relative importance of all 18 of the key "deep root" factors they identify across the published literature. We employ a Bayesian Model Averaging (BMA) approach that is ideally suited for model identification and provides a statistical means to rank the importance of these deep root factors. Our results suggest that (in order of importance) latitude, exitability as measured by a country's shape and coastal access, genetic distance, religion, and French legal origins are the most important of the deep root determinants of economic freedom. Policy implications of our findings are also discussed. (c) 2024 The Society for Policy Modeling. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码:211 / 227
页数:17
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