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dc.titleAssessing Macro-Fiscal Risk for Latin American and Caribbean Countries
dc.contributor.authorValencia, Oscar
dc.contributor.authorParra, Diego A.
dc.contributor.authorDíaz, Juan Camilo
dc.contributor.orgunitFiscal Management Division
dc.coverageLatin America and the Caribbean
dc.date.available2022-10-28T00:10:00
dc.date.issue2022-10-28T00:10:00
dc.description.abstractThis paper provides a comprehensive early warning system (EWS) that balances the classical signaling approach with the best-realized machine learning (ML) model for predicting fiscal stress episodes. Using accumulated local effects (ALE), we compute a set of thresholds for the most informative variables that drive the correlation between predictors. In addition, to evaluate the main country risks, we propose a leading fiscal risk indicator, highlighting macro, fiscal and institutional attributes. Estimates from different models suggest significant heterogeneity among the most critical variables in determining fiscal risk across countries. While macro variables have higher relevance for advanced countries, fiscal variables were more significant for Latin American and Caribbean (LAC) and emerging economies. These results are consistent under different liquidity-solvency metrics and have deepened since the global financial crisis.
dc.format.extent41
dc.identifier.doihttp://dx.doi.org/10.18235/0004530
dc.identifier.urlhttps://publications.iadb.org/publications/english/document/Assessing-Macro-Fiscal-Risk-for-Latin-American-and-Caribbean-Countries.pdf
dc.language.isoen
dc.publisherInter-American Development Bank
dc.subjectFiscal Policy
dc.subjectFinance
dc.subjectGlobal Financial Crisis
dc.subjectGross Domestic Product
dc.subjectFiscal Risk Management
dc.subjectEmerging Market
dc.subjectMacroeconomy
dc.subjectEconomy
dc.subject.jelcodeC53 - Forecasting and Prediction Methods • Simulation Methods
dc.subject.jelcodeH63 - Debt • Debt Management • Sovereign Debt
dc.subject.jelcodeE62 - Fiscal Policy
dc.subject.keywordsForecasting;early warning signal;Fiscal policy
dc.typeWorking Papers
idb.identifier.pubnumberIDB-WP-01346
idb.operationRG-T3751
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