Do existing corruption levels matter in controlling corruption? Cross-country quantile regression estimates
Do existing corruption levels matter in controlling corruption? Cross-country quantile regression estimates
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DOI：
10.1016/j.jdeveco.2008.07.006
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发表时间：
2009-11-01
影响因子：
5
通讯作者：
Goel, Rajeev K.
中科院分区：
文献类型：
--
作者：
Billger, Sherrilyn M.;Goel, Rajeev K.
我们使用近100个国家最近的横截面数据来研究腐败的决定因素。虽然腐败的原因引起了经济学家的兴趣，在最近几年，我们的主要贡献是检查腐败的决定因素在整个国家的腐败的条件分布。与最不腐败的国家相比，高度腐败的国家的腐败原因是否不同？例如，我们研究更大的民主和更大的经济自由是否会持续减少最腐败和最不腐败的腐败。我们的研究结果的显着决定因素支持文献中的一些发现，但也提供了新的结论。在许多情况下，分位数回归估计与OLS回归估计有很大不同。在最腐败的国家中，更大的政府和更大的经济自由似乎并没有减少腐败，但更大的民主似乎减轻了它。我们的研究结果表明，一些现行的腐败控制政策可能会被重新考虑，特别是在最腐败和最不腐败的国家。由爱思唯尔公司出版
We examine the determinants of corruption using recent cross-sectional data for nearly one hundred countries. While the causes of corruption have drawn economists' interest in recent years, our main contribution is to examine the corruption determinants throughout the conditional distribution of corruption across nations. Are there different causes of corruption in highly corrupt nations compared to the least corrupt countries? For instance, we examine whether greater democracy and more economic freedom consistently reduce corruption among the most and the least corrupt. Our results for the significant determinants support some findings in the literature, but also provide new conclusions. In many cases, quantile regression estimates are quite different from those from OLS regressions. Among the most corrupt nations, larger governments and greater economic freedom do not appear to reduce corruption, but greater democracy seems to alleviate it. Our results suggest that some current corruption control policies may be reconsidered, especially among the most corrupt and least corrupt nations. Published by Elsevier B.V.