 Do existing corruption levels matter in controlling corruption?: Cross-country quantile regression estimatesSherrilyn Billger and Rajeev Goel Journal of Development Economics, 2009, vol. 90, issue 2, 299-305 Abstract: 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. Keywords: Corruption; Democracy; Government; size; Quantile; regression; Economic; freedom (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:deveco:v:90:y:2009:i:2:p:299-305 Access Statistics for this article Journal of Development Economics is currently edited by M. R. Rosenzweig More articles in Journal of Development Economics from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.