## D4D Fund Delivers — Achievements

## Source details

**Canonical URL:** [D4D Fund Delivers — Achievements](https://www.imf.org/-/media/files/capacity-developement/d4d/3rd-meeting/d4d-fund-delivers-achievements.pdf)

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### I. Implementation Overview
- The D4D Fund implementation accelerated, with Africa (AFR) and Asia (APD) as priority targets:
  - Regional distribution of engagement: AFR 39%, APD 28%, MCD 25%, EUR 5%, WHD 3%.
- Pre-COVID targets and actuals for missions and expenses:
  - Actual: 60 missions, $6.0M
  - Pre-COVID Target: 87 missions, $6.4M
- D4D Fund geographical coverage after 23 months into implementation (June 2018 to April 2020):
  - TA Missions: 48 TA missions benefitting 30 countries
  - Regional Workshops: 13 workshops benefiting 372 country representatives from 78 different countries
  - Countries explicitly engaged include: Djibouti, Vanuatu, Gambia, Lebanon, Comoros, Cabo Verde
- Engagement breadth:
  - D4D Fund CD has engaged with 62 out of 77 LLMICs on fiscal and debt reporting.

### II. Delivery per Module — Promising Outcomes and Activities
- M1 — Addressing Data Needs and Quality Concerns (Real Sector Statistics)
  - High-frequency Indicators (HFIs)
    - HFIs critical to monitor the impact of the pandemic, as they provide policymakers with timelier measures of economic activity.
    - Progress in line with work plan, supported by cutting-edge methodological advances (e.g., Monthly Indicator of Economic Growth to streamline diverse and unstructured HFIs).
    - Capacity development under way in Jordan, Uganda, Vietnam, Mongolia.
    - Diverse recipients include fragile states (Congo) and more advanced economies (Philippines).
  - National Accounts Benchmarking and Rebasing
    - Delaying benchmarking/rebasing beyond the recommended threshold gives rise to increasing margins of error in the national accounts, weakening economic decision-making, and international comparability, for example, for SDG monitoring.
    - With the consolidation of the IMF’s national accounts and prices work under the D4D Fund, this work stream will be anchored in the objective to support national accounts benchmarking/rebasing.
  - Residential Property Price Indexes (RPPIs)
    - Data on residential property critical for financial stability analysis; particularly relevant in current time of crisis.
    - Scarce reliable data for RPPIs in LLMICs where administrative and survey data are usually less developed.
    - Innovative toolkit for web-scraping property listings facilitates source data collection.
    - Country selection based on prominence of real estate markets in financial castor stability, with scarce CD resources allocated to countries most at risk based on IMF surveillance (e.g., Vietnam, Mongolia, Cambodia, Sri Lanka).

- M1 — Addressing Data Needs and Quality Concerns (External Sector Statistics)
  - Activities for this work stream have been backloaded in line with Steering Committee guidance.
  - Areas of progress in External Sector Statistics were identified (details not enumerated in the source excerpt).

- M1 — Addressing Data Needs and Quality Concerns (Fiscal and Debt Reporting: GFS/PSDS)
  - Government Finance Statistics (GFS) — Some examples:
    - Uzbekistan: New fiscal data identified on revenue and expenditure made via off-budget accounts, representing 6-7 percent of GDP.
    - Publication of IMF’s Special Series on COVID-19 notes, complemented by operational support to a wide range of countries on different fiscal issues.
  - Public Sector Debt Statistics (PSDS) — Some examples:
    - Diagnostic workshops in AFR and MCD focused on most vulnerable countries with half of participants from countries in debt distress or at high risk of debt distress.
    - TA missions supported the expansion of the institutional and instrument coverage:
      - In Cabo Verde, data was compiled for more than 90 percent of the public sector;
      - In Zimbabwe, data compiled includes 92local government entities and 40most significant nonfinancial public corporations;
      - In Côte d’Ivoire, data compiled for 10 key SOEs;
      - Instrument coverage expansion in Liberia increased the stock of debt in FY17 to FY18 by around2 percent of GDP.

- M2 — Financial Access Survey (FAS)
  - Financial sector access is key for reducing inequality which has become even more relevant with inequality rising in the current crisis.
  - Expansion of the coverage and scope of the FAS dataset with the 2019 FAS round:
    - Increase in data reporting with 171 jurisdictions (from a total of 189 economies), including on gender-disaggregated statistics.
    - Reporting by fragile states remained strong with 28 of them (60 percent) reporting data.
  - Indicators shown (trends across FAS rounds):
    - Gender statistics reporters: comparisons across FAS 2018 and FAS 2019 for low-income, middle-income, high-income (counts shown in source charts).
    - Mobile money data reporters: trend across FAS 2015 to FAS 2019 (counts shown in source charts).

- M3 — Online Learning
  - PSDSx microlearning launched on IMF Institute Learning YouTube channel to further leverage access to D4D Fund online learning with 2,600 views after one month.
  - PSDSx rollout far exceeded expectations with over 800 active participants.
  - Strong demand from AFR countries, low/lower-middle income countries (LLMIC) and fragile states (FCS).
  - Development of the next courses was accelerated:
    - GFSx launch planned for July;
    - BOP-IIPx half way completed;
    - NASx already started.

- M4 — Statistical Information Management
  - Pilot work on improving data management, from data collection to data dissemination.
  - TA missions helped Lebanon and Tunisia improve their statistical information management processes:
    - TA in Lebanonsupported the central bank to familiarize with the SDMX standard and to develop a roadmap for its implementation;
    - TA to Tunisia assisted the central bank in modernizing data dissemination practices related to its NSDP by moving to machine-to-machine technology in SDMX.

### Key Statistics and Outputs
- Mission and workshop activity:
  - 60 missions completed (actual) vs. Pre-COVID target of 87 missions.
  - Cumulative expenses actual: $6.0M vs. Pre-COVID target: $6.4M.
  - 48 TA missions benefitting 30 countries; 13 regional workshops benefiting 372 country representatives from 78 different countries.
- Geographic engagement and priorities:
  - AFR 39%, APD 28%, MCD 25%, EUR 5%, WHD 3%.
- Training and outreach:
  - PSDSx: 2,600 YouTube views after one month; over 800 active participants.
- Data coverage advances:
  - 171 jurisdictions reporting to FAS in 2019 (out of 189 economies).
  - 28 fragile states (60 percent) reporting to FAS.

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_Source: https://www.imf.org/-/media/files/capacity-developement/d4d/3rd-meeting/d4d-fund-delivers-achievements.pdf_