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
Asian Development Bank
Central Africa Technical Assistance Center
East Africa Technical Assistance Center
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.
(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.
Lending Facility 1
High Risk Location Designation
World Bank FCS Classification
Methodology Assessment Score 3 2020