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International Monetary Fund. Statistics Dept.

-resident transport operators. Adjust estimated freight transport accordingly. September 2019 M Compile an IMTS – balance of payments reconciliation table to clarify the transition from Customs-based trade in goods data to exports and imports figures in the balance of payments. December 2019 H Verifying and comparing various data sources for donations received through * : - ITRS - Administrative data - Foreign Embassy - Bilateral data July 2020 * Remark : Work-in-progress. SBS data assessed to be an alternative source of remittances data. Deadline

International Monetary Fund. Statistics Dept.
This report discusses the report of technical assistance mission to support the Central Bank of Samoa (CBS) in further strengthening external sector statistics compilation and dissemination. The mission recommended that ESS compilers convert to using the International Merchandise Trade Statistics (IMTS) data as the source of exports data starting 2019; and adjust historical data at least as far back as 2014. Also, it would be beneficial to switch the source of trade in goods exports from exchange control records to Customs data to ensure better coverage and improve consistency with the IMTS published by the Samoa Bureau of Statistics. The CBS should adopt a step-by-step approach for the collection of offshore units’ data, initially focusing on offshore banks. As international requirements for the reporting of offshore units evolves, it is likely that the Samoa International Finance Authority (SIFA) and the offshore company trustees will need to expand data collection from the offshore units under their jurisdiction. The CBS should, therefore, keep abreast of developments with respect to offshore reporting and continue to liaise with the SIFA.
International Monetary Fund. Statistics Dept.
International Monetary Fund. Western Hemisphere Dept.

: Figure 3. Peru: Interest Rate Spread Decompositions, 2000-11 Sources: SBS data; and Fund staff estimates. Figure 4. Peru: Interest Spread Decompositions, 2000-11 Sources: SBS data; and Fund staff estimates. Non-interest margins for the other grouping of smaller banks increased from under 10 percent in 2000 to around 16 percent at the peak of the financial cycle in 2008, before returning back to 10 percent. Non-interest margins have been more stable for the top 3 banks, and similar to the foreign / domestic breakdown at around 3–5 percent. Still

International Monetary Fund. Statistics Dept.

,741 R new exaust Int. cons. 4,815 174,498 72,649 91,820 99,286 38,324 -5,286 R new exaust Val. add. 1,109 56,555 60,984 93,192 89,749 128,981 -11,455 12. The system includes all data sources used for compiling the production account components : structural business survey (SBS) data, no n-observed economy estimates, FISIM allocation, research and development capitalization, general government data, corrections for balancing, and corrections for exhaustiveness of the SBS and financial statement. 13. This

International Monetary Fund. Statistics Dept.
A national accounts statistics mission provided remote technical assistance in national accounts to the National Bureau of Statistics of Moldova (NBS) during January 17–28, 2022. The NBS has received extensive technical assistance from the IMF in recent years and has made good progress in improving the national accounts compilation. The GDP estimates are compiled according to the System of National Accounts, 2008. Recent national accounts technical assistance missions have assisted the NBS in improving the quarterly estimates of GDP, implementing chain-linked volume measures, and implementing the Statistical Classification of Economic Activities in the European Community (NACE rev.2), among other areas. The mission assisted in improving the annual GDP estimates for 2014 to 2020, to take account of revised population data and other additional source data. Estimates of GDP in current prices by production and by expenditure categories were reviewed and improved. Estimates of GDP in volume terms (at prices of the previous year) were compiled by production and expenditure categories. Both sets of GDP estimates were balanced at current prices and in volume terms. The mission recommended that, to improve the consistency and accuracy of the GDP estimates, the NBS develop a system to compile supply and use tables on a regular basis.
Venkat Josyula

hand, providing data on an SBS basis may reduce respondent workload (depending on the existing means through which data are collected) but increase the workload of the compiler—although data-processing technologies have largely addressed this. Conversely, under an SBS data collection approach, the compiler has far wider flexibility to serve new user demands by reclassifying the data, providing new breakdowns, and/or delivering more detailed data for particular categories of securities. Additionally, the compiler can recalculate time series without having to collect

International Monetary Fund

order to verify whether it is possible to define a new estimate . In the same time NA sector, will start also the investigation of the SBS data of the construction sector in order to estimate separately secondary activities from main activity of the construction sector. This exercise will contribute to a better estimation of the GFCF (construction component) . 20. Include non-deductible VAT in the valuation of intermediate consumption to conform to the 1993 SNA’s concept of purchasers’ price. We have started to make the preliminary estimation of non

International Monetary Fund. Western Hemisphere Dept.
The purpose of the study is to examine Peru’s effective interest spread through accounting decompositions, financial ratio analysis, and spread regressions. The government’s financial restructuring programs accelerated the banking sector consolidation process. Robustness of Peru’s credit system and interest rate decomposition has also been viewed. Three key financial ratios—return on equity (RoE), return on assets (RoA), and net interest margin (NIM)—focused by financial statements, have also been studied. Finally, the framework of Espino and Carrera used for the estimation of interest rate spreads has also been discussed.
Venkat Josyula

per country and per instruments derived from end-June 2015 CPIS. 6.97 Extending data sources in case of nonresident holders of Romanian securities could improve the coverage and quality of these data in future. A new database, SHSDB, has been developed at the level of ECB and Bundesbank with participation of euro zone countries, whereas the other European Union (EU) central banks have been also encouraged to supply data about their own country security holders. The system contains granular information (SBS data) related to holdings of debt securities, listed