国际货币基金组织：撒哈拉以南非洲的叙述性财政整合数据集（英文版）

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 sustainab