{
  "title": "Assessing IMF Lending: a Model of Sample Selection",
  "publication": "IMF Working Papers, July 19, 2019",
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  "summary": "Extending previous work on the determinants of IMF lending in an interconnected world, we introduce a model of sample selection in which both selection and size dimensions of individual IMF arrangements are presented within a unified econometric framework.",
  "sections": [
    {
      "heading": "Overview",
      "content": "- Extends previous work on the determinants of IMF lending in an interconnected world.\n- Introduces a model of sample selection that unifies selection and size dimensions of individual IMF arrangements within a single econometric framework.\n- Allows for unobserved heterogeneity to create an additional channel for sample selection at the country level.\n- Uses estimated parameters in Monte Carlo simulation of a wide spectrum of global shock scenarios to assess the distribution of potential aggregate IMF lending."
    },
    {
      "heading": "Methodology",
      "content": "- Unified econometric framework combining:\n  - Selection dimension (which countries receive IMF arrangements).\n  - Size dimension (how large individual IMF arrangements are).\n- Incorporates unobserved heterogeneity at the country level as an additional channel for sample selection.\n- Employs Monte Carlo simulation using estimated parameters to generate scenario-based distributions of aggregate lending."
    },
    {
      "heading": "Key Findings",
      "content": "- Factors associated with larger individual IMF arrangement sizes:\n  - Higher external financing needs.\n  - Larger exchange rate depreciation.\n  - Lower GDP growth.\n  - Deteriorated global financial conditions.\n- Monte Carlo simulation results:\n  - The distribution of potential aggregate IMF lending exhibits a substantial right tail under a wide spectrum of global shock scenarios."
    },
    {
      "heading": "Policy Implications and Relevance",
      "content": "- The approach provides an insightful input to broader policy discussions on the adequacy of the IMF resources.\n- By capturing both selection and size together and allowing for unobserved country-level heterogeneity, the model informs stress-testing and resource adequacy assessments under systemic shock scenarios.\n\n---\n\n Content in this bundle\n\n- Working Paper\n  - Working Paper (Markdown version){rel=\"alternate\" type=\"text/markdown\"}\n  - Working Paper (PDF){rel=\"external\" type=\"application/pdf\"}\n\n---\n\nSource: https://www.imf.org/en/publications/wp/issues/2019/07/19/assessing-imf-lending-a-model-of-sample-selection-47076"
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    "Authors: Nicolas Mäder, Jean-Guillaume Poulain, Julien Reynaud",
    "Published: July 19, 2019",
    "Series: IMF Working Papers",
    "DOI: https://doi.org/10.5089/9781498324618.001",
    "Extends previous work on the determinants of IMF lending in an interconnected world.",
    "Introduces a model of sample selection that unifies selection and size dimensions of individual IMF arrangements within a single econometric framework.",
    "Allows for unobserved heterogeneity to create an additional channel for sample selection at the country level.",
    "Uses estimated parameters in Monte Carlo simulation of a wide spectrum of global shock scenarios to assess the distribution of potential aggregate IMF lending.",
    "Unified econometric framework combining:",
    "Incorporates unobserved heterogeneity at the country level as an additional channel for sample selection.",
    "Employs Monte Carlo simulation using estimated parameters to generate scenario-based distributions of aggregate lending.",
    "Factors associated with larger individual IMF arrangement sizes:",
    "Monte Carlo simulation results:",
    "The approach provides an insightful input to broader policy discussions on the adequacy of the IMF resources.",
    "By capturing both selection and size together and allowing for unobserved country-level heterogeneity, the model informs stress-testing and resource adequacy assessments under systemic shock scenarios.",
    "**Working Paper**"
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