On the evolution of corruption patterns in the post-communist countries
Keyword(s):
Long Run
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In this paper, we study the evolution of corruption patterns in 27 post-communist countries during the period 1996-2012 using the Control of Corruption Index and the corruption category Markov transition probability matrix. This method allows us to generate the long-run distribution of corruption among the post-communist countries. Our empirical findings suggest that corruption in the post-communist countries is a very persistent phenomenon that does not change much over time. Several theoretical explanations for such a result are provided.
2019 ◽
Vol 14
(1)
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pp. 88-105
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2014 ◽
Vol 42
(3)
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pp. 508-519
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