Projecting Public Debt - The Public Debt Dynamics Tool
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- Projecting Public Debt - The Public Debt Dynamics Tool
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Bibliographic details
- Session: OL 26.123
- Location: Course conducted online
- Dates: May 1, 2026 - April 15, 2027 (50 weeks)
- Delivery method: Online Training
- Primary language: French
- Status: Apply online by April 1, 2027
Course logistics and eligibility
- Session No.: OL 26.123
- Location: Course conducted online
- Date: May 1, 2026 - April 15, 2027 (50 weeks)
- Delivery Method: Online Training
- Primary Language: French
- Target Audience:
- Officials from ministries of finance
- Debt agencies
- Central banks
- Other government agencies responsible for providing advice or implementing macroeconomic and debt policies
- Qualifications:
- Some knowledge of economics would be helpful.
- Basic Microsoft Excel skills are essential.
Course description and analytical focus
- The course provides an overview of how to assess public debt dynamics under uncertainty.
- It discusses how to think about public debt projections when there is uncertainty about key underlying variables:
- GDP growth
- Interest rates
- Exchange rates
- Primary balances
- The course trains participants to produce and interpret fan charts (graphical tools used to describe uncertainty about the evolution of a variable over time).
- Concepts presented:
- Maximum debt limit (level of debt beyond which there could be significant negative consequences for the economy)
- Safe debt (a level of debt sufficiently below the debt limit to provide a comfortable and prudent buffer)
- The course explains how to:
- Use fan charts to derive a safe level of debt
- Assess fiscal risks
Learning objectives and competencies
Upon completion of the course, participants should be able to:
- Project public debt.
- Identify the main drivers of public debt changes.
- Compute measures of fiscal adjustments consistent with a public debt target.
- Conduct a stress test to public debt projections, including through the use of fan charts.
- Identify the main components of a debt sustainability analysis to assess the risk of debt distress.