A Narrative Fiscal Consolidation Dataset for Sub-Saharan Africa

Volume/Issue: Volume 2026 Issue 011

Publication date: January 2026

ISBN: 9798229034661

$20.00

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Topics covered in this book

This title contains information about the following subjects. Click on a subject if you would like to see other titles with the same subjects.

Fiscal consolidation , Fiscal policy , Narrative identification , Sub-Saharan Africa , Artificial intelligence methods

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Summary

This paper introduces the first narrative-based dataset on fiscal consolidations for sub-Saharan Africa (SSA). Drawing on staff reports from the International Monetary Fund (IMF) during the period 1990-2024 and using an approach assisted by artificial intelligence (AI), the dataset systematically identifies fiscal consolidation actions motivated by long-term considerations (rather than cyclical conditions), such as reducing an inherited budget deficit, ensuring long-term public debt sustainability and improving economic efficiency. By focusing exclusively on measures exogenous to the business cycle, the dataset provides a more precise identification of fiscal consolidation actions for the empirical analysis of the macroeconomic effects of fiscal policy in SSA.