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International Monetary Fund. Statistics Dept.
A technical Assistance (TA) Mission was conducted by CAPTAC-DR1 from May 14 to 18, 2018 with the objective of supporting the Central Reserve Bank of El Salvador (CBR) in its efforts to strengthen its national accounts statistics for decision making. The TA mission covered the following topics: compilation of an Input-Output Table (IOT) for 2014; as well as to follow up on the recommendations made in previous TA missions to disseminate Supply and Use Tables (SUT) for 2015 and thereafter, as part of the national accounts’ series with base year 2005. In addition, the mission provided training to the Department of National Accounts (DNA) team of the CBR in the methodological and conceptual aspects necessary for the analysis and application of the IOT as a statistical and analytical tool.
International Monetary Fund. Statistics Dept.

still affect the valuation tables . E. Compilation of Input-Output Table 26. The observations made are not considered an obstacle to publishing the IOT , given that it is fully consistent with the 2014 SUT data already published. 27. The mission has compiled a product-product and industry-industry IOT for the Salvadoran economy for the year 2014 in accordance with the 2014 SUT balance information and the CIF import use table created by DNA technical personnel. 28. A preliminary version has been obtained that contains 53 branches of homogeneous

International Monetary Fund

underway to address methodological issues related to supply and use tables (SUT) for 2008 that have been independently developed. The current lack of reliable and consistent SUT data seriously undermines the accuracy and the coverage of the GDP estimates developed through this technique. Price statistics : A consumer price index for Monrovia has been compiled since 2005. The Harmonized Consumer Price Index providing national coverage was officially adopted in 2007. Government finance statistics : The Ministry of Finance regularly provides the African

International Monetary Fund. Statistics Dept.
A technical assistance mission was undertaken by the Real Sector Statistics Advisor in the Caribbean Regional Technical Assistance Centre to Saint Lucia to provide advice to the Central Statistics Office (CSO) on compiling rebased gross domestic product estimates. The CSO is responding to the needs of the Ministry of Finance for more robust and timely national accounts statistics. All the Gross domestic product by economic activity (GDP-P) compilation workbooks have now been redeveloped and revised current and constant 2018 price quarterly and annual estimates have been compiled up to Q3 2019. The incorporation of revised data on tourist expenditure for 2000 onward have also resulted in revisions to the GDP-P current rice estimates and real growth rates. The revised annual and quarterly GDP-P estimates were assessed, and several methodological improvements were implemented. Improvements were made to the constant price estimates by reviewing and replacing weaker volume indicators. Training on the methodological changes and compiling the rebased estimates has been provided. The training on methodological improvements included the use of the more representative employment indicators and various price indices discussed above; back-casting and linking techniques for the current price estimates and linking the constant 2006 price series with the constant 2018 price series.
International Monetary Fund. Fiscal Affairs Dept.
The Maldives has identified the estimation and regular reporting of tax expenditures (TEs) as one of the top priority areas in continuing its tax modernization process. TEs are alternative policy tools (e.g., to direct transfers and other spending measures) in the form of provisions in the tax legislation that modify the tax liability of individuals or companies. The cost of TEs should be identified, measured, and publicly reported to improve transparency in fiscal management.
International Monetary Fund. Fiscal Affairs Dept.

are part of the Benchmark as memo items, such as limitation to interest deductions and the higher tax rate on banks. ii) building TEs models : The mission delivered (i) a BPT model based on business-level tax return data in 2019; and (ii) a GST model based on the Supply and Use Tables (SUT) from the national accounts (using the latest available SUT data from 2014). Both TE models build on static microsimulation techniques and hence (beyond computing TEs) can help in simulating the direct revenue effects of hypothetical tax policy changes. Concrete examples are

International Monetary Fund. Statistics Dept.

price estimates to derive value indicators that are benchmarked to annual current price IC estimates to compile the quarterly current price IC estimates. The component price indices for composite IC price indices for some industries, such as other crops, quarrying and sea transport, were changed based on the use of products breakdown from the SUT. The output price indices for education and other services was also changed. The adjusted consumer price index (CPI) for education was replaced with a weighted price index (using the SUT data), comprising the price indices

International Monetary Fund
In this study, the staff report for the review under the three-year arrangement under the Extended Credit Facility is discussed. Investment in iron ore and commercial agriculture and rebound in rubber prices are important for growth. Fiscal, monetary, and financial policies are discussed. An update of external debt sustainability confirms the low risk of debt distress rating. IMF staff supports the new indicative floor on education and health spending in FY2012, and the performance criterion on the Central Bank of Liberia (CBL) payment are discontinued.
International Monetary Fund

are used to validate major source data. 3.3.2 Other statistical procedures (e.g., data adjustments and transformations, and statistical analysis) employ sound statistical techniques. The GEOSTAT makes significant efforts to ensure the exhaustiveness of the GDP estimates. Activities of NOE are separately identified in the accounts. In addition to specialized surveys, the SUT data, data from the HBS, and administrative data are scrutinized to ensure coverage of all NOE components. Estimates for the NOE are made for both the production and the expenditure