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The Committee for the Coordination of Statistical Activities gathered in Muscat, Oman to discuss IMF Capacity Development in Statistics and its role in advancing international statistical agenda and promoting best practices in data dissemination. The IMF aims to strengthen member countries' capabilities in producing and disseminating consistent and comparable macroeconomic and financial statistics, addressing data gaps and improving data quality.
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Committee for the Coordination of Statistical Activities Muscat, Oman September 27-28, 2017 IMF Capacity Development in Statistics J. R. Rosales Reproducing this material or any part thereof should refer to the IMF Statistics Department as the source
IMF CD At A Glance Statistical Methodologies Others Monetary & Financial Prices Capacity Development (CD) Data & Surveillance Methodology National Accounts (SNA 2008) Government Finance Statistics External Sector • Provide global leadership on macroeconomic and financial statistics to advance the international statistical agenda and contribute to carrying out the IMF’s mandate and core functions • Gather and analyze statistics underpinning IMF surveillanceanduse of IMF resources; address data gaps and quality deficiencies;and promote best practices in dissemination of statistics • Providetechnical assistance and training to member countries, strengthening their capabilities to produce and disseminate consistent and comparable macroeconomic and financial statistics Public Sector Debt Guide Public Sector Debt Guide GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 GFSM 2014 Quarterly National Accounts Manual CPI Manual PPI Manual GDDS SDDS SDDS Plus Handbook on Securities SDDS Plus MFSM Quarterly National Accounts Manual FSI Compilatio Guide MFSM Handbook on Securities Screaming Chickens Guide Screaming Chickens Guide FSI Compilatio Guide Manual on Export & Import Prices Screaming Chickens Guide Jumping Cows Guide Remittances Compilation Guide PPI Manual BPM 6 GDDS GFSM 2014 Remittances Compilation Guide CPI Manual Remittances Compilation Guide Jumping Cows Guide BPM 6 Manual on Export & Import Prices BPM 6 Jumping Cows Guide Remittances Compilation Guide BPM 6 Screaming Chickens Guide GDDS Jumping Cows Guide
1. Macro-financial Surveillance: Balance-Sheet Analysis Network maps provide a graphical presentation of the BSA matrix at end-2007 and end-2014 for Indonesia: size of gross exposures (thickness of arrows) and net exposures (size of nodes) expanded, with the borrowing of NFCs from ROW growing most rapidly over the period. Source Article IV report Indonesia, IMF, 2016.
IMF CD At A Glance FY2017 Capacity Development Allocation Worldwide Thailand Technical Assistance Office for the Lao P.D.R. and the Republic of the Union of Myanmar (TAOLAM) Beneficiary Country Regional Technical Assistance Center (RTAC)
IMF CD At A Glance • STA CD Mission Delivery by Statistical Topic, FY 2011―FY 2017 • (in number of missions) • STA CD Mission Delivery by Region, FY 2011―FY 2017 • (in number of missions) + 70 % ■ Sub-Saharan Africa ■Asia and The Pacific ■ Europe ■ All Regions ■ Middle East and Central Asia ■ Western Hemisphere ■ Data Dissemination ■ Monetary and Financial Statistics ■ Government Finance Statistics ■ External Sector Statistics ■ Prices Statistics ■ National Accounts Statistics ■ Other
IMF CD Mission Delivery by TA and Training, FY 2010 – FY 2018 (in number of missions and FTEs as of 5/16/2017) • Training has grown in tandem with TA, with a broadly equal share of about one-eighth over the years. • This reflects ICD-RTC training, RTAC-offered training, and training organized with partners and/or under IMF02-funded projects. • STA will remain the second-largest training provider in the Fund after ICD.
Medium-Term Steady State CD Architecture Complementarity of STA CD Modes of Delivery: RTACs vs D4D and FSSF Funds Operational data for policy-making Internationally accepted statistical methodologies • D4D and FSSF Funds • Emphasize getting more and better data into the hands of decision-makers • Broaden access to source data and coverage to step up quality • Develop higher-frequency and more timely data to support policy-making • Offer second-generation statistical products (e. g., RPPIs, BSAs) • Fill topical gaps (e.g., ESS) • RTACs/TAOLAM/EDDI2 • Provide CD on “bread-and-butter” statistics to establish strong methodological foundation • Emphasize inter-sectoral consistency and international comparability • Aim for basic source data • Focus on annual and, in part, quarterly data • Offer first-generation statistical products (e.g., CPI)