Data · dataset · 2025
COVID-19 Containment Measures and Loan Default in Sub-Saharan Africa: Evidence from South Africa, Kenya, Tanzania, and Burundi
Listed in Teesside University Research Data Repository
This dataset accompanies the empirical study examining how COVID-19 containment measures affected banking sector stability and loan default dynamics across four Sub-Saharan African countries—South Africa, Kenya, Tanzania, and Burundi—from 2018 to 2022.
Description
The data integrate macroeconomic indicators, financial stability variables, and COVID-19 policy indices to analyze the link between pandemic stringency and changes in non-performing loans (NPLs).
Using panel regression and instrumental variable techniques, the dataset captures country-level annual observations combining publicly available macro-financial statistics with COVID-19 response indicators. The variables include the Change in NPL Ratios (ΔNPL), COVID-19 Stringency Index, GDP Growth Rate, and Inflation Rate. The dataset supports cross-country and temporal analysis of credit risk transmission under pandemic-related shocks.
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This dataset serves as a unique contribution to pandemic-finance research in Africa, providing an integrated resource for analyzing credit risk, financial stability, and policy responses during systemic crises.
Links
Where it is published
- DOI doi.org/10.17632/5htytg9mwb.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Economics & Finance · Health economics · Medicine & Health
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/5htytg9mwb.1 | 15 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:380108 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Health Economics'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |