Corrupt Clubs and the Convergence Hypothesis
Empirical work in a cross-section framework demonstrates little or no support for absolute convergence in per capita GDP. I argue in this paper that “divergence in corruption”, defined as the tendency of corrupt countries to become more corrupt faster than less corrupt nations, is a neglected factor that also determines the speed of convergence. Using Transparency International (TI) corruption perceptions index, I estimate C-σ and C-γ coefficients for corrupt and less corrupt economies to explore the C-divergence in corruption rankings. The study concludes that corrupt countries are C-converging, forming a “corrupt club”.
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Volume (Year): 45 (2006)
Issue (Month): 4 ()
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- G. E. Boyle & T. G. McCARTHY, 1999. "Simple measures of convergence in per capita GDP: a note on some further international evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 6(6), pages 343-347.
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