{
  "title": "“Rules of Thumb” for Sovereign Debt Crises",
  "publication": "IMF Working Papers, March 1, 2005",
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  "summary": "This paper contains an empirical investigation of the set of economic and political conditions that are associated with a likely occurrence of a sovereign debt crisis.",
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    {
      "heading": "Summary",
      "content": "- Paper contains an empirical investigation of the set of economic and political conditions associated with a likely occurrence of a sovereign debt crisis.\n- Uses a new statistical approach (Binary Recursive Tree) to derive a collection of \"rules of thumb\" that help identify the typical characteristics of defaulters.\n- Key finding: not all crises are equal; they differ depending on whether the government faces insolvency, illiquidity, or various macroeconomic risks.\n- Characterizes the set of fundamentals that can be associated with a relatively \"risk free\" zone.\n- Classification aims to inform appropriate policy options to prevent crises and improve response time and prediction."
    },
    {
      "heading": "Methodology",
      "content": "- Statistical approach: Binary Recursive Tree.\n- Objective: derive \"rules of thumb\" for identifying typical characteristics of sovereign debt defaulters and classifying crisis types."
    },
    {
      "heading": "Core findings",
      "content": "- Distinction among crisis types:\n  - Insolvency-driven crises.\n  - Illiquidity-driven crises.\n  - Crises driven by various macroeconomic risks.\n- Existence of a relatively \"risk free\" zone defined by underlying fundamentals (specific fundamentals not listed on the landing page).\n- Implication that crisis prediction and policy response should be tailored to the crisis type identified."
    },
    {
      "heading": "Policy implications and recommendations",
      "content": "- Use classification of crisis types to:\n  - Discuss appropriate policy options to prevent crises.\n  - Improve response time to emerging sovereign debt distress.\n  - Enhance prediction of debt crises through targeted monitoring of relevant fundamentals.\n\n---\n\n Content in this bundle\n\n- Wp0542\n  - Wp0542 (Markdown version){rel=\"alternate\" type=\"text/markdown\"}\n  - Wp0542 (PDF){rel=\"external\" type=\"application/pdf\"}\n\n---\n\nSource: https://www.imf.org/en/publications/wp/issues/2016/12/31/rules-of-thumb-for-sovereign-debt-crises-17889"
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    "Authors: Nouriel Roubini, Paolo Manasse",
    "Published: March 1, 2005",
    "Series: IMF Working Papers",
    "DOI: https://doi.org/10.5089/9781451860610.001",
    "Paper contains an empirical investigation of the set of economic and political conditions associated with a likely occurrence of a sovereign debt crisis.",
    "Uses a new statistical approach (Binary Recursive Tree) to derive a collection of \"rules of thumb\" that help identify the typical characteristics of defaulters.",
    "Key finding: not all crises are equal; they differ depending on whether the government faces insolvency, illiquidity, or various macroeconomic risks.",
    "Characterizes the set of fundamentals that can be associated with a relatively \"risk free\" zone.",
    "Classification aims to inform appropriate policy options to prevent crises and improve response time and prediction.",
    "Statistical approach: Binary Recursive Tree.",
    "Objective: derive \"rules of thumb\" for identifying typical characteristics of sovereign debt defaulters and classifying crisis types.",
    "Distinction among crisis types:",
    "Existence of a relatively \"risk free\" zone defined by underlying fundamentals (specific fundamentals not listed on the landing page).",
    "Implication that crisis prediction and policy response should be tailored to the crisis type identified.",
    "Use classification of crisis types to:",
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