A Case of Public Debt Liquidation Using Inflation in Kenya
Bibliographic record
Abstract
Kenya adopted Medium Term Debt Strategies in 2001 to reduce external borrowing, prioritise concessional debt, slow domestic debt accumulation, extend maturities, and set debt ceilings. Despite these efforts, concerns about debt sustainability persist. Inflation has been demonstrated to liquidate debt in advanced economies but remains unexplored in Kenya. This study used 1983-2022 data and time series analysis to assess inflation’s potential to liquidate public debt, distinguishing domestic from external debt. The results indicated that a 2% shock inflation had a minimal impact on domestic debt, reducing the ratio by just 0.024% in ten years. Conversely, external debt to GDP increased by three and a half percent in five years but decreased by 282% in ten years, aligning with global findings that longer-term debt is more responsive to persistent inflation shocks. This study informs fiscal policy on inflation’s role in managing public debt.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".