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Yasmin Alem and Jacinta Bernadette Shirakawa

Achievements TABLES 1. FCS Overview 2a. Breakdown of Statistical Methodology Assessment 2b. Statistical Methodology Assessment Criteria 3. Fragile and Conflict-Affected States and IMF’s Data Standards Initiatives 4. Text Mining of Statistical Scorecards 5. Determinants of Statistical CD Missions 6. Summary Statistics 7. Case Studies Overview and Selection Criteria Glossary ADB Asian Development Bank AFC Central Africa Technical Assistance Center AFE East Africa Technical Assistance Center AfDB African Development

Yasmin Alem and Jacinta Bernadette Shirakawa
Based on internal data, this paper finds that the capacity development program of the IMF’s Statistics Department has prioritized technical assistance and training to fragile and conflict-affected states. These interventions have yielded only slightly weaker results in fragile states than in other states. However, capacity development is constantly needed to make up for the dissipation of progress resulting from insufficient resources that fragile and conflict-affected states allocate to the statistical function, inadequate inter-agency coordination, and the pervasive impact of shocks exogenous to the statistical system. Greater coordination with other capacity development providers and within the IMF can help partially overcome low absorptive capacity in fragile states. Statistical capacity development is more effective when it is tailored to countries’ level of fragility.
Yasmin Alem and Jacinta Bernadette Shirakawa

(IEO, 2018). Political instability and conflict are other common characteristic of FCS along with vulnerability and exposure to natural disasters, all of which entail great economic and human costs. A country’s fragility status is also not permanent and may change over time. Table 1. FCS Overview Country Name Income Group Small States Lending Facility 1 RCF/RFI 2 RCDC Membership High Risk Location Designation World Bank FCS Classification Methodology Assessment Score 3 2020 AFR Burundi Low income