1. IMF Capacity Development In Statistics
Current and Future
IMF Capacity Development
In Statistics
Florina Tanase
Advisor, Statistics Department (STA)
March 2017

2. 1 2 3 4 Outline IMF Capacity Development in Statistics
Enhanced Data for Better Macro Policies and Sustainable Development 2
IMF Capacity Development in Europe
Providing Support to Southeastern and Eastern European Countries 3
STA Module under Financial Sector Stability Fund (FSSF)
Work Streams on Financial Soundness Indicators and Balance Sheet Approach 4
STA Data for Decisions (D4D) Fund
Closing Gaps in Macroeconomic Statistics and Foster Financial Inclusion

3. 1. IMF Capacity Development in Statistics
STA Mandate: The IMF’s Statistics Department (STA) provides global leadership on macroeconomic and financial statistics. Our analytical, policy, and operational work advances the international statistical agenda and contributes to carrying out the IMF’s mandate and core functions.
STA capacity development (the transfer of technical knowledge and best practices through technical assistance and training) is one of the IMF’s core activities and is integrated with surveillance and lending operations. Capacity building activities:
Aim to strengthen capabilities to produce, compile and disseminate macroeconomic and financial statistics consistent with international standards;
Increasingly focus on getting more and better data into the hands of policy makers; and
Have increased by about 70 percent during the last seven years particularly due to the rising demand in the wake of the global financial crisis.
32% 5%
32% 9% 9%

4. 1. IMF Capacity Development in Statistics

5. Capacity Development of the Statistics Department
1. IMF Capacity Development in Statistics
Capacity Development of the Statistics Department
Coverage during FY
Beneficiary Countries
Regional Technical Assistance Center (RTAC)

6. Bilateral & IMF’s own resources
1. IMF Capacity Development in Statistics
STA Medium-Term CD Architecture
Field-based Regional Technical
Assistance Centers
D4D Fund
(LLMICs)
RSS basics (close-to-full coverage)
GFS basics (increasing coverage)
ESS basics (limited coverage)
RSS
GFS
ESS
Financial Access Survey (FAS)
Online learning
Statistical Information Management
Policy-relevant high-frequency data and source data
Topical gaps and expanded regional coverage on ESS basics
Aim to fill gaps in coverage
Legend:
RSS = Real Sector Statistics
GFS = Gov’t Finance Statistics
ESS = External Sector Statistics
FSIs = Financial Soundness Indicators
MFS: Monetary and Financial Statistics
LLMICs = Lower and low middle income countries
Financial Sector Stability Fund
(LLMICs)
Bilateral & IMF’s own resources
FSIs
MFS
IIP
GFS balance sheets
Data dissemination
Targeted CD, for example:
Regional harmonization
Source data
Other priorities
Advanced economies

7. SECO-financed Project (since 2015)
2. IMF Capacity Development in Europe
Current CD:
SECO-financed Project (since 2015)
GFS in Southeastern Europe
Enable compliance with EU requirements, including compilation and dissemination of GFS data following the ESA 2010 methodology
Dutch-financed Project (starting now)
Various topical CD in Eastern and Southeastern Europe
Focus on MFS/FSIs, ESS, RSS, and data dissemination
Planned CD:
IPA-financed Project (in partnership with Eurostat)
GFS (SECO follow-up) and ESS in Southeastern Europe (from 2018 onward)

8. SECO-financed Project
2. IMF Capacity Development in Europe
SECO-financed Project
Phase I: October 2014 – June 2016
Series of TA missions per country
Two Regional Workshops in Ljubljana, March 2015 and May 2016 – with Eurostat representation
Phase II: September 2016 – June 2019
Further TA Visits
Regional GFS Advisor based in CEF, Ljubljana (Deon Tanzer)
Annual regional workshops (March 13-17, 2017) – including Eurostat representation
SECO resources supplemented by IMF resources to enable complementary TA for Montenegro

9. SECO-financed Project Current fiscal data reporting:
2. IMF Capacity Development in Europe
SECO-financed Project
Current fiscal data reporting:
Albania: partial EDP tables, annual GFS data, public sector debt statistics (PSDS) data
Bosnia and Herzegovina: experimental EDP tables, annual and subannual GFS data
Kosovo: annual GFS data
Macedonia: some experimental EDP tables, PSDS data
Serbia: most progress on EDP reporting

10. Balance Sheet Approach Workstream
3. STA Module under Financial Sector Stability Fund (FSSF)
FSI Workstream
Help countries assess financial sector structure, stability, and vulnerabilities, undertake stress testing, and develop macro-prudential policies.
Provide TA/training to LICs and lower MICs in compiling and disseminating FSIs consistent with int’l standards.
Publish FSIs in IMF’s FSI database (http// for use in SDG monitoring.
Balance Sheet Approach Workstream
Help countries develop and utilize a reporting framework to compile critical balance sheet data for the financial, external and government sectors to generate BSA matrices.
Use matrices to identify cross-border and cross-sector financial linkages that could pose risks and vulnerabilities in the financial sector.
Provide TA/training to LICs and lower MICs in compiling MFS, GFS, and ESS source data for use in BSA.
FSSF size USD30 million, of which USD 5 million for STA CD (FY ).
Fundraising has started.

11. FSSF FSI Work Stream—Building on Successful CD Track Record
3. STA FSSF: FSI Work Stream
FSSF FSI Work Stream—Building on Successful CD Track Record
40 new FSI reporting economies since 2013 and growing
120 FSI reporters as of end 2016

12. FSSF BSA Work Stream—Example of Indonesia
3. STA FSSF: BSA Work Stream
FSSF BSA Work Stream—Example of Indonesia
Banking sector is mostly exposed to NFCs and thus vulnerable to a shock to NFCs’ balance
sheets
NFCs exposed to
currency and withdrawal risks because of large reliance on cross-border
funding
Provide CD on monetary, external and government finance statistics;
Aims to identify cross-border and cross-sector fin’l linkages;
Supports macro-prudential policies and financial stability analysis; and
Helps identify economic risks and vulnerabilities that may affect financial systems.
NBFI=nonbank financial institution; NFC=nonfinancial corporation; HH=household; ROW=rest of the world

13. 4. STA Data for Decisions (D4D) Fund: Overview
Objective: Putting more and better data in the hands of decision makers to enhance evidence-based macroeconomic policies and support sustainable development goals
Beneficiary countries: Low-income and lower middle-income countries worldwide
Target period: IMF’s FY
Financial Access Survey (FAS) M1
Sustain and expand the Financial Access Survey
Addressing Data Needs
and Quality Concerns M2
Online Learning M3
Develop and launch 8 fundamental statistics courses (English and possibly Spanish and French) M4
Provide advice on statistical information management practices and related technical environments
Submodule Real Sector Statistics (RSS)
Submodule External Sector Statistics (ESS)
Submodule Government Finance Statistics (GFS)
Statistical Information Management

14. 4. Data for Decisions (D4D) Fund: Module 1
Module M1: FAS
Sustain the FAS as the authoritative source of supply-side data to measure financial inclusion.
Four-fold objectives: (i) Ensure continued production of the FAS; (ii) provide policymakers and analysts with high-quality statistics on ongoing developments in the financial sector; (iii) provide monitoring basis for SDG financial inclusion indicator; and (iv) contribute to the research and policy agenda on financial inclusion, poverty reduction and gender equality.
Traditional Coverage
Proposed D4D Focus
Topical: Sustain and expand the Financial Access Survey
D4D FAS Work Stream
Global annual survey
Outreach on analytical use of survey data
D4D FAS Delivery Modes
Conduct annual survey of 189 economies.
Publish results on IMF’s external website (
Funding secured until April 2018.
Continue to conduct annual survey.
Expand the FAS to new areas relevant to financial inclusion (e.g., new access points, gender- related statistics and regulatory and other barriers, incl. costs to financial access).
Enhance methodological basis and reflect rapid pace of financial services delivery and technological developments (e.g., digital financial inclusion).
Provide research, outreach and implementation support.
Enhance access to data and speed of dissemination.

15. Module M2: Addressing Data Gaps and Data Quality Concerns
4. STA D4D Fund: Module 2
Module M2: Addressing Data Gaps and Data Quality Concerns
Three submodules to provide coverage of topical gaps identified based on needs assessment with countries.
Five-fold objectives: (i) Provide policymakers with more and better data; (ii) help countries detect economic risks and vulnerabilities; (iii) bring more data into the public domain, thereby enhancing transparency and accountability; (iv) offer technical advice on enhancing source data and promoting higher-frequency data; (v) complement CD provision on “bread- and-butter” statistics, including in particular those provided through RTACs.
RSS Submodule:
Develop high-frequency indicators of economic activity;
Offer technical advice to develop source data for core national accounts and price statistics, including by fostering interagency cooperation;
Develop Real Property Price Indexes.
ESS Submodule:
Enhance trade statistics to address impact of trade liberalization and globalization;
Deepen financial account statistics to support spillover analysis.
GFS Submodule:
Develop high-frequency GFS and debt data;
Offer risk-based support to help solve policy-relevant fiscal problems;
Enhance institutional coverage, classification, and consistency of GFS;
Expand scope of flows and stock positions.

16. D4D Online Learning Work Streams D4D Online Learning Delivery Modes
4. STA D4D Fund: Module 3
Module M3: Online Learning
Develop a new structured online learning curriculum to enhance reach of statistics training.
Implement training courses as they become available.
Design courses such that they become entry requirements for face-to-face advanced/specialized courses.
Traditional Coverage
Proposed D4D Focus
National Accounts, Prices, Government Finance, Public Debt, Monetary and Financial, Financial Soundness Indicators, Balance of Payments and International Investment Position, and External Debt Statistics
D4D Online Learning Work Streams
Global delivery
Available 24/7/365
D4D Online Learning Delivery Modes
Development and roll-out of all 8 fundamental STA courses to be available online 24/7/365
Roll-out of Spanish and French online versions, depending on resource availability
Passing candidates would receive a certificate as a precursor to face-to-face advanced/specialized courses
A Basic online statistics training course (currently under development) would be a precursor to any fundamental course
IMF training on statistics is provided through face-to-face fundamental courses
Advanced and specialized courses, including regional training and workshops, closely connected to TA delivery
NA/Prices
MFS/FSIs
GFS/PSD
BOP/ EDS
STA Basic Course
Better
Data for
Policy-Making
Intermediate and Advanced/Specialized Courses

17. Module M4: IT Supporting Statistics
4. STA D4D Fund: Module 4
Module M4: IT Supporting Statistics
Develop advice to help statistical offices, central banks, and ministries to streamline, standardize, and automate their data management practices and infrastructure.
Enhance countries’ ability to compile and disseminate macroeconomic and financial statistics.
Traditional Coverage
Proposed D4D Focus
D4D M4 Work Stream
Global delivery
TA and training
D4D M4 Delivery Modes
National statistical information management advice
Advice to national authorities on statistical data management practices and environments to support macroeconomic and financial statistics compilation and dissemination
No direct IT data support or advice at present, notwithstanding demand from countries

18. Contact:
Florina Tanase
Thank you