Assessing Bias and Accuracy in the World Bank-IMF's Debt Sustainability Framework for Low-Income Countries

The World Bank and IMF have adopted a debt sustainability framework to evaluate the risk of debt distress in Low Income Countries

Abstract

The World Bank and the IMF have adopted a debt sustainability framework (DSF) to evaluate the risk of debt distress in Low Income Countries (LICs). At the core of the DSF are empirically-based thresholds for each of five different measures of the debt burden (the “debt threshold approach” DTA). The DSF contains a rule for aggregating the information contained in these five different variables which we label the “worst-case aggregator” (WCA) in view of the fact that the DSF considers a breach of any one of the thresholds sufficient to indicate a high risk of debt distress. However, neither the DTA nor the WCA has heretofore been subject to empirical testing. The authors find that:

  1. the DTA loses information relative to a simple proposed alternative

  2. the WCA is too conservative (predicting crises too often) in terms of the loss function used in the DSF

  3. the WCA is less accurate than some simple proposed alternative aggregators as a predictor of debt distress.

This work is part of the ‘Macroeconomics in Low-income countries’ programme

Citation

Andrew Berg, Enrico G Berkes, Catherine A Pattillo, Andrea Presbitero, Yorbol Yakhshilikov (2014) Assessing Bias and Accuracy in the World Bank-IMF’s Debt Sustainability Framework for Low-Income Countries. IMF Working Paper No. 14/48

Assessing Bias and Accuracy in the World Bank-IMF’s Debt Sustainability Framework for Low-Income Countries

Updates to this page

Published 27 March 2014