  This paper aims to identify the robust determinants of corruption after
integrating out the effects of spatial spillovers in corruption levels between
countries. In other words, we want to specify which variables play the most
critical role in determining the corruption levels after accounting for the
effects that neighbouring countries have on each other. We collected the annual
data of 115 countries over the 1985-2015 period and used the averaged values to
conduct our empirical analysis. Among 39 predictors of corruption, our spatial
BMA models identify Rule of Law as the most persistent determinant of
corruption.
