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International Monetary Fund. Statistics Dept.
In response to a request from the authorities and as part of the United Kingdom’s Department for International Development (DFID) Enhanced Data Dissemination Initiative (EDDI) 2 project, a government finance statistics (GFS) mission visited Maseru, Lesotho, during January 20–31, 2020. The mission was the last, in a series of five consecutive technical assistance (TA) missions to Lesotho, as part of the EDDI 2 project. The objective of the five-year project, that started in 2015 was to foster compilation and dissemination of GFS and public sector debt statistics (PSDS) consistent with international methodological standards. The work program under the project identified the enhancement of classification of transactions in fiscal accounts and the expansion of the institutional coverage of data to include all significant general government units as key milestones to achieve by the end of the project.
International Monetary Fund. Statistics Dept.
The fourth and last technical assistance (TA) mission for the benefit of Guinea, under the project on improving external sector statistics (ESS) in 17 Francophone countries of West and Central Africa, funded by the Japanese government and administered by the IMF, took place in Conakry during August 26–30, 2019. The mission was hosted by the Central Bank of the Republic of Guinea (BCRG), which is the institution responsible for compiling the ESS. The main points addressed by the mission were to support (i) the process of participating in the coordinated direct investment survey (CDIS), (ii) the detailed technical work for improving the current and financial accounts, and (iii) the implementation of recommendations from previous missions.
International Monetary Fund. Statistics Dept.
The fourth and last technical assistance (TA) mission for the benefit of Guinea, under the project on improving external sector statistics (ESS) in 17 Francophone countries of West and Central Africa, funded by the Japanese government and administered by the IMF, took place in Conakry during August 26–30, 2019. The mission was hosted by the Central Bank of the Republic of Guinea (BCRG), which is the institution responsible for compiling the ESS. The main points addressed by the mission were to support (i) the process of participating in the coordinated direct investment survey (CDIS), (ii) the detailed technical work for improving the current and financial accounts, and (iii) the implementation of recommendations from previous missions.
International Monetary Fund. Statistics Dept.
A technical assistance (TA) mission was conducted by IMF’s Regional Technical Assistance Center for Southern Africa (AFS)1 during June 8–12, 2020 to assist Statistics Botswana (SB) in improving the quality of the national accounts statistics. The mission was conducted remotely respecting the constraints imposed by the COVID-19 outbreak. Reliable national accounts are essential for informed economic policymaking by the authorities. It also provides the private sector, foreign investors, rating agencies, donors and the public in general with important inputs in their decision-making, while informing economic analysis and IMF surveillance. Rebasing the national accounts is recommended every five years. Rebasing requires comprehensive surveys and ideally, supply and use tables (SUT) to support coherence checking of data.
International Monetary Fund. Statistics Dept.
In response to a request from the authorities and as part of the United Kingdom’s Department for International Development (DFID) Enhanced Data Dissemination Initiative (EDDI) 2 project, a Government Finance Statistics (GFS) mission visited Lusaka, Zambia, during November 19–30, 2018. This was the third mission to Zambia under the DFID EDDI2 project, following the March 2016 and November 2017 missions. The mission worked essentially with staff at the Zambia Central Statistical Office (CSO) Public Finance Unit (PFU), but also had meetings with staff from the Ministry of Finance’s Accountant General, Budget, Investment and Debt Management, and Economic Management departments.
Ms. Emine Boz, Camila Casas, Georgios Georgiadis, Ms. Gita Gopinath, Helena Le Mezo, Arnaud Mehl, and Miss Tra Nguyen
This paper presents the most comprehensive and up-to-date panel data set of invoicing currencies in global trade. It provides data on the shares of exports and imports invoiced in US dollars, euros, and other currencies for more than 100 countries since 1990. The evidence from these data confirms findings from earlier research regarding the globally dominant role of the US dollar in invoicing – despite the comparatively smaller role of the US in global trade – and the overall stability of invoicing currency patterns. The evidence also points to several novel facts. First, both the US dollar and the euro have been increasingly used for invoicing even as the share of global trade accounted for by the US and the euro area has declined. Second, the euro is used as a vehicle currency in parts of Africa, and some European countries have seen significant shifts toward euro invoicing. Third, as suggested by the dominant currency paradigm, countries invoicing more in US dollars (euros) tend to experience greater US dollar (euro) exchange rate pass-through to their import prices; also, their trade volumes are more sensitive to fluctuations in these exchange rates.
International Monetary Fund. Statistics Dept.
The contents of this report constitute technical advice provided by the staff of the IMF to the authorities of Bangladesh in response to their request for technical assistance. The purpose of the mission was to assist the Bangladesh Bank (BB) in progressing on the compilation of a residential property price index. BB has plans to set up a new data collection system to improve the current existing data starting from July 2020. The new data collection will expand the geographic coverage and the type of dwellings and mostly will increase the current sample resulting in more accurate results. The mission recommended the use of R instead of other software since it allows to perform all the necessary calculations in one script and single software. The mission provided training particularly on the hedonic methods, chain linking and rebasing. The hedonic methods are the most recommended to address the quality changes on the mix of dwellings transacted when following the price of real estate.