Predicting Sovereign Debt Crises
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Summary:
We develop an early-warning model of sovereign debt crises. A country is defined to be in a debt crisis if it is classified as being in default by Standard & Poor's, or if it has access to nonconcessional IMF financing in excess of 100 percent of quota. By means of logit and binary recursive tree analysis, we identify macroeconomic variables reflecting solvency and liquidity factors that predict a debt-crisis episode one year in advance. The logit model predicts 74 percent of all crises entries while sending few false alarms, and the recursive tree 89 percent while sending more false alarms.
Series:
Working Paper No. 2003/221
Subject:
Debt default Early warning systems External debt Financial crises Public debt
English
Publication Date:
November 1, 2003
ISBN/ISSN:
9781451875256/1018-5941
Stock No:
WPIEA2212003
Pages:
41
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