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The resource curse revisited: A Bayesian model averaging approach
被引:96
|作者:
Arin, K. Peren
[1
]
Braunfels, Elias
[2
]
机构:
[1] Zayed Univ, Abu Dhabi, U Arab Emirates
[2] Oslo Econ, Oslo, Norway
来源:
关键词:
Oil;
Growth;
Natural resource curse;
Bayesian model averaging;
NATURAL-RESOURCES;
GROWTH NEXUS;
INSTITUTIONS;
PRIORS;
D O I:
10.1016/j.eneco.2017.12.033
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
The evidence for the effects of oil rents on growth is mixed, a result which can be explained with model uncertainty. We address the issue using Bayesian Model Averaging techniques and an updated cross-country data set for long-term growth in the period 1970-2014, including 91 countries and 54 potential growth determinants. We do not find empirical evidence for the existence of a "natural resource curse" in our sample. On the contrary, our results suggest a robust positive effect of oil rents on long-term economic growth. We then introduce interaction terms of oil rents with potential conditions under which oil dependency can lead to sub-standard growth. The results indicate that the positive effect of oil rents may be conditional on the quality of institutions. We test the robustness of our results using a panel data set and find neither a curse nor a positive effect of oil rents on short- to medium-run growth. (C) 2018 Elsevier B.V. All rights reserved.
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页码:170 / 178
页数:9
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