Benchmarking Dynamically Stable Public Debt Trajectories for Low-Income Countries
IMF Working Papers, April 10, 2026
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Bibliographic details
- Authors: Plamen K Iossifov, Ali Abbas, Lennart Niermann
- Published: April 10, 2026
- Series: IMF Working Papers
- DOI: https://doi.org/10.5089/9798229044363.001
Objective and scope
- Develop two complementary approaches for benchmarking public debt trajectories of Low-Income Countries (LICs) to assess their dynamic stability.
- Focus on the evolution of overall public debt-to-GDP ratios of reference LICs.
- Compare reference LICs with historical experiences of other countries that: (a) have similar characteristics, and (b) are now further down the path of economic development and have not experienced public debt stress events.
- Aim: provide insights for debt sustainability analyses for LICs.
Methods
- Two complementary approaches:
- Direct comparison of public debt-to-GDP ratios between reference LICs and selected historical comparators.
- A novel application of the synthetic control method (SCM).
- Emphasis on identifying public debt trajectories that are dynamically stable from a historical perspective.
Key findings and analytical insights
- The paper establishes benchmarking procedures that identify public debt trajectories deemed dynamically stable in historical experience.
- These dynamically stable trajectories can provide insights into debt sustainability analyses for LICs.
- Use of SCM is highlighted as a novel methodological contribution for constructing counterfactual/comparator trajectories for LICs.
Policy relevance and implications
- Benchmarked dynamically stable public debt trajectories serve as historical reference points to inform LIC debt sustainability analyses.
- The approaches facilitate comparisons with countries that successfully avoided public debt stress events while advancing in economic development.
- Results can inform fiscal policy design and fiscal stance assessments in LICs by highlighting historically observed sustainable paths of public debt-to-GDP ratios.
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- Working Paper