Dataset on Palliative Economics and Persistent Poverty in Sub-Saharan Africa

Title of Dataset
Dataset on Palliatives Economics and Persistent Poverty in Sub Saharan Africa
Abstract
This dataset compiles macroeconomic, fiscal, and social indicators relevant to the study of debt financed palliative measures and poverty persistence in Nigeria. It integrates official statistics from the Debt Management Office (DMO), World Bank’s World Development Indicators, and the Council on Foreign Relations’ Nigeria Security Tracker. The dataset is designed to support econometric analysis, particularly Two Stage Least Squares (2SLS) regression, to examine the relationship between debt servicing, governance inefficiencies, and poverty outcomes.

Data Sources
1. Debt Management Office Nigeria
o Nigeria Public Debt Statistical Bulletin, Q4 2023
o Provides quarterly data on external and domestic debt stock, debt servicing obligations, and fiscal structure.
2. World Bank Open Data – World Development Indicators (2024)
o GDP, poverty headcount ratio, education expenditure, healthcare expenditure, and demographic indicators.
o Regional aggregates for Sub Saharan Africa used for comparative analysis.
3. Council on Foreign Relations – Nigeria Security Tracker (updated July 1, 2023)
o Weekly catalog of violent incidents linked to political, economic, and social grievances.
o Used to contextualize governance challenges and insecurity’s impact on poverty persistence.
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Data Coverage
• Temporal Scope: 2010–2023
• Geographic Scope: Nigeria, with comparative references to Sub Saharan Africa regional aggregates.
• Variables:
o Debt stock (external, domestic)
o Debt servicing costs
o GDP (annual, per capita)
o Poverty headcount ratio
o Education and healthcare expenditure (% of GDP)
o Violent incidents (frequency, type, actors involved)
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Methodology
• Stylized Facts: Descriptive statistics and trend analysis of debt and poverty indicators.
• Econometric Analysis: Two Stage Least Squares (2SLS) regression to estimate the impact of debt servicing and governance inefficiencies on poverty outcomes.
• Validation: Cross checked with multiple sources (DMO, World Bank, CFR) to ensure reliability.
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Value of the Data
• Enables replication of the study’s findings on debt poverty dynamics.
• Provides policymakers with evidence on fiscal diversion from social sectors.
• Supports comparative research across Sub Saharan Africa.
• Useful for scholars in economics, finance, development studies, and governance.
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Limitations
• Security Tracker data ends July 2023; subsequent incidents are not included.
• Some fiscal data may be subject to revisions by the DMO.
• Poverty measures rely on World Bank estimates, which may differ from national statistics.
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