A replication package reproduces the empirical implementation reported in Cid (2026). It contains cleaned input series, model-consistent datasets, scripts, and outputs for the Structural Debt Monitoring Framework. The repository implements structural variable construction, parameter calibration, state classification, and debt-dynamics diagnostics.
Use Cases
- Reproducing empirical analyses and structural classifications based on the supplied datasets and scripts.
- Calibrating admissibility-based parameters for debt sustainability models.
- Evaluating forward debt-dynamics diagnostics and refinancing-boundary estimations.
- Comparing latent fragility diagnostics with standard debt-service indicators.
- Inspecting pre-generated dashboard results without re-executing the workflow.
Strengths
- Includes deterministic and reproducible computations conditional on the supplied datasets.
- Provides both fully reproducible scripts and pre-generated outputs for direct verification.
- Last updated on 2026-05-18, indicating recent maintenance.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Replication package for a published academic paper.
- Freshness
- 2026-05-18