ABSTRACT
This paper develops a cross-country statistical model of debt rescheduling, and the secondary market valuation of LDC debt, which links these variables to key structural characteristics of developing countries, such as the trade regime, the degree of income inequality, and the share of agriculture in GNP. Our most striking finding is that higher income inequality is a significant predictor of a higher probability of debt rescheduling in a cross-section of middle-income countries. We attribute this correlation to various difficulties of political management in economies with extreme inequality. We also find that outward-orientation of the trade regime is a significant predictor of a reduced probability of debt rescheduling.
