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International Monetary Fund. Statistics Dept.

)); (iii) reviewed and refined the GFS compilation file (the SGO) to address inconsistencies above and below the line, and between transactions in financial assets and liabilities, and bank financing; (iv) initiated steps towards compilation of expenditure by Classification of Functions of Government (COFOG); (v) identified source data for extrabudgetary units (EBUs) and initiated steps to compiling GFS for EBUs; (vi) reviewed PSDS compilation for dissemination to the World Bank/IMF quarterly PSDS (QPSDS) database; and (vii) updated the GFS and PSDS implementation work

International Monetary Fund. Statistics Dept.
This Technical Assistance paper on the Republic of Madagascar explains the need for the Malagasy authorities to adopt the Government Finance Statistics Manual (GFSM) 2014 concepts, definitions, and methodology as part of the macroeconomic statistics improvement Project. The report recommends that it is important to improve macroeconomic analysis and monitoring of the overall impact of government finances on the country’s economy, something that other public finance ‘figures’ of a budgetary and accounting nature are not intended to do. The report shows that steady progress continues with the preparation of a bridge table between the chart of accounts and the GFSM 2014 classifications. Notable improvements have been made in the presentation of Other Net Treasury Operations, the detailed components of which were identified and can now be presented on a gross basis. Based on the progress made, the prospect of compiling consolidated GFS covering all subsectors of the Malagasy general government in a not-too-distant future is encouraging.
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.
International Monetary Fund. Statistics Dept.
As part of the IMF-South Asia Regional Training and Technical Assistance Center (SARTTAC) work program, a technical assistance (TA) mission on external sector statistics (ESS) was conducted during April 2–13, 2018. The mission assisted the Royal Monetary Authority (RMA) in compiling and disseminating external debt statistics (EDS) consistent with the international investment position (IIP), reviewed the compilation method of direct investment statistics, and assessed the coverage of external flows related to hydropower projects.
International Monetary Fund. Statistics Dept.

by the Ministry of Economic Affairs (MEA). MRSD compilers plan to visit all these 61 companies in the coming weeks, to explain to them the survey form and request the submission of quarterly data with quarterly timeliness. After these visits, compilers expect to largely improve the coverage of FDI statistics. 24. The mission assisted compilers in developing a more clean and integrated FDI worksheet . The mission reviewed the new worksheet recently prepared by the MRSD compilers to replace the current FDI compilation file which is not easy to manage and produces

International Monetary Fund. Statistics Dept.
This paper on government finance statistics (GFS) mission in Lesotho presents a review of progress against recommendations of previous GFS technical assistance (TA) missions and further assist with improving the quality of GFS currently compiled and disseminated. The mission reviewed progress with implementation of previous GFS TA recommendations and updated the public sector institutional table. The mission reviewed the new compilation methods and noted some improvements with the approach. Accounts payable are now recorded under financing, to bridge the timing difference of commitment basis expenditure. The report explains that the legal and institutional environment is conducive to compiling macroeconomic and financial statistics; the relevance and practical utility of existing macroeconomic and financial statistics are monitored; management processes are in place to monitor the quality of macroeconomic and financial statistics; and institutional integrity, transparency, and ethical practices meet statistical standards. There is still a need to correct recording to distinguish expense from acquisition of financial assets.
International Monetary Fund. Statistics Dept.

CSO’s PFU is insufficient, not adequately trained, but could also benefit from additional resources for data collection and processing. The manual processing of data from the Ministry of Finance is error prone and time consuming. A GFS compilation file exists, that is used to put together transactions on revenue, expenditure and financial assets and liabilities, and expenditure by Classification of Functions of Government (COFOG) based on budget entities’ cost centers. Data inputted into the file has to be manually processed in large Excel files (the expenditure

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.