Abstract
We use OLS cross-country regressions and a competitive neural network approach to evaluate the performance of macroeconomic and political-economy data in assessing economic freedom. Our results point to a reasonable performance of the cross-sectional approach in explaining economic freedom scores but to a poor performance of the neural network approach in replicating country rankings provided by the Index of Economic Freedom. Our results thus justify the use of qualitative elements but at the same time call in question the relevance of macroeconomic data in the construction of economic freedom rankings.
| Original language | English |
|---|---|
| Pages (from-to) | 269-272 |
| Number of pages | 4 |
| Journal | Applied Economics Letters |
| Volume | 17 |
| Issue number | 3 |
| DOIs | |
| State | Published - Feb 2010 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
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