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 24.143
- Location: Course conducted online
- Dates: May 1, 2024 - April 15, 2025 (50 weeks)
- Delivery method: Online Training
- Primary language: English
- Status: Deadline passed
Training program and prerequisites
- Presented by the Institute for Capacity Development.
- Some knowledge of economics is helpful.
- Basic Microsoft Excel skills and access to a computer with a reliable internet connection and a Google Chrome web browser are essential.
Target audience
- All government officials are welcome to register.
- Particularly useful for officials from ministries of finance, debt agencies, central banks, and other government agencies responsible for implementing macroeconomic and debt policies.
Course description
- Two-module online course explaining how to project the stock of public debt over time for baseline (most likely) and alternative scenarios.
- Introduces the underpinnings of public debt dynamics (i.e., the evolution of public debt over time).
- Explains application using an easy-to-use Excel-based Public Debt Dynamics Tool (DDT).
- Uses projections of some 10 key macroeconomic and financial variables to produce public debt projections under baseline and stress test scenarios.
- Produces fan charts that describe uncertainty about the evolution of debt over time in a probabilistic manner.
- Identifies the main drivers of public debt changes.
- Computes measures of fiscal adjustments necessary to achieve a user-specified public debt target within a certain period.
Course objectives (learning outcomes)
Upon completion, participants should be able to:
- Compute public debt dynamics.
- Identify the main drivers of public debt dynamics.
- Compute measures of fiscal adjustments necessary to achieve a public debt target.
- Conduct a stress test to public debt dynamics, including through the use of fan charts.
- Identify the main components of a debt sustainability analysis to assess the risk of debt distress.