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International Monetary Fund. Statistics Dept.
The mission to Armenia took place between September 27–October 8, 2021 to assist the authorities to improve their Government Finance Statistics (GFS) compilation practices. The technical assistance (TA) mission was conducted by Ms. Ivana Jablonská and Mr. David Bailey at the request of the Ministry of Finance (MOF) and with the support of the IMF´s Middle East and Central Asia Department (MCD). The main objectives of the mission were to assist the authorities in finalizing a comprehensive sectorized list of all public sector units —known as, the public sector institutional table (PSIT) — and in compiling annual general government GFS data for 2020.
International Monetary Fund. Statistics Dept.
This Technical Assistance Report discusses the findings and recommendations made by the IMF mission to assist authorities in Rwanda in aligning the compilation and dissemination of government finance statistics (GFS) in accordance with the Government Finance Statistics Manual 2014. It was recommended that the Ministry of Finance (MINECOFIN) should officially assign GFS compilation duties to a specific subset of its staff. The mission believes that it is important for the MINECOFIN to make a “permanent” assignment of GFS compilation and dissemination duties so that the work can evolve systematically. In the mission’s view, the Macroeconomic Policy Unit appears to be well placed to perform this task. However, the unit should be allocated appropriate resources to take on the responsibility.
International Monetary Fund. Statistics Dept.

that will efficiently address future reporting requirements to multiple users. Agree on a near-term transition plan for discontinuing reporting to AFR on a GFSM 1986 basis so that authorities can cease reverse data mapping. Expand fiscal reporting to include stocks of financial assets and liabilities. Finalize and begin implementing the GFS data quality improvement work program that was drafted in November 2015. The mission warmly thanks the authorities for their excellent hospitality and support, which contributed greatly to the success of the mission

International Monetary Fund

internal government access to data, and information on whether there is ministerial commentary accompanying the data releases. Information on revisions and advance notice of major changes in methodology are usually disseminated, except for the GFS data. Quality dimension 8. Bulgaria’s GDDS metadata provide information that corresponds to the quality dimensions of the SDDS. III. S UMMARY A SSESSMENT OF D ATA Q UALITY 9. Interest in assessing the quality of data derives from the objectives of complementing the SDDS with a consideration of the quality

International Monetary Fund. Statistics Dept.

templates. Advantages of Using Detailed Treasury Single Account Data 32. The mission strongly urges the MoF compilers to directly use the more detailed TSA data, which includes both budget codes and GFSM 2001 codes, when compiling GFS as this should significantly improve GFS data quality and data processing . Many of the current challenges in GFS compilation can be overcome by simply gaining access to the detailed TSA data and using the embedded GFSM 2001 codes when compiling GFS. It is expected that this step will (i) increase the accuracy of detailed GFS

International Monetary Fund
This Report on the Observance of Standards and Codes (ROSC) provides a review of Georgia’s data dissemination practices against the IMF’s General Data Dissemination System (GDDS), complemented by an in-depth assessment of the quality of the national accounts, consumer price index, producer price index, government finance, monetary, and balance-of-payments statistics. Georgia has made good progress in improving its statistics in a number of areas. Nonetheless, substantial shortcomings are present in some statistical practices and databases. Some of these shortcomings could be addressed with current resources.
International Monetary Fund

This Report on the Observance of Standards and Codes (ROSC) provides a review of Georgia’s data dissemination practices against the IMF’s General Data Dissemination System (GDDS), complemented by an in-depth assessment of the quality of the national accounts, consumer price index, producer price index, government finance, monetary, and balance-of-payments statistics. Georgia has made good progress in improving its statistics in a number of areas. Nonetheless, substantial shortcomings are present in some statistical practices and databases. Some of these shortcomings could be addressed with current resources.

International Monetary Fund. Western Hemisphere Dept.
On December 22, 2021, the IMF Executive Board approved a 36-month arrangement under the Extended Fund Facility (EFF) with access of 366.8 percent of quota (SDR 472.8 million or USD 673 million). The Surinamese authorities’ homegrown economic recovery plan aims to address systemic fiscal and external imbalances and chart a course toward debt sustainability, declining inflation, and economic recovery while maintaining social stability. In the first few months of the program, the authorities have made good progress but important risks remain.
International Monetary Fund. Western Hemisphere Dept.

Institutional Framework for Fiscal Policy 4 . The authorities’ economic plan targets an improvement in the primary balance of around 14 percentage points of GDP over 2021–2024, supported by a balanced mix of revenue and expenditure measures. To support these efforts, the Fund-supported program aims at improving fiscal institutions, including through more efficient revenue administration and public financial management, as well as high-quality data reporting, and analytical and forecasting capacity going forward. Government financial statistics (GFS) . Data quality

International Monetary Fund
Dutch macroeconomic statistics are generally in accordance with internationally accepted standards and guidelines on concepts and definitions, scope, classification and sectorization, and basis for recording. They are also available with periodicity and timeliness that always meet, and sometimes exceed, Special Data Dissemination Standard (SDDS) requirements. The macroeconomic statistics of the Netherlands get high marks for accuracy and reliability. The range of annual source data for national accounts is extensive. However, there are no quarterly collections from enterprises for gross fixed capital formation or inventories.