This technical assistance (TA) report on government finance statistics (GFS) covers the remote TA to the Ministry of Finance (MOF) during September 21–October 2 and December 14–18, 2020 and March 9–13 and April 19–23, 2021 (which was extended to May 2021). These peripatetic activities were conducted remotely due to the travel restrictions resulting from the COVID-19 situation. This report documents the main achievements from these activities. These activities were part of the GFS and Public Sector Debt Statistics (PSDS) project funded by the Government of Japan (JSA3) and implemented by the IMF Statistics Department (STA) and the IMF Capacity Development Office in Thailand (CDOT).
This note outlines the interest of Revenue Administrations (RAs) and National Statistical Offices (NSOs) in the quality of data at their disposal, and how collaboration between these organizations can contribute to improving data quality. The similarities between the data collection and processing steps in revenue administration and in the production of economic statistics underlie meaningful information and data sharing. Mutually beneficial collaboration between RAs and NSOs can be achieved, particularly in efforts to improve the coverage of registers and to update register information; classify economic activity; and analyze joint data to address data shortcomings. Since there are differences in concepts and definitions used in revenue administration and official statistics, dialogue is necessary to ensure the effective use of data from the partner organization. Collaboration can improve the quality of data available to both institutions: for RAs, this can assist in realizing improved taxpayer compliance and revenue mobilization, and for NSOs, tax-administrative data sources may enable expanded coverage of the economy in official statistics and reduce timeframes required for publishing economic time series and national accounts. Together, these outcomes can enhance the policy formulation, planning, and service delivery capability of governments. To that end, this note delineates concrete steps to engender sustainable and meaningful interchange of information and data between the RA and NSO.
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.
This Technical Assistance Report discusses the initiation of the stock-taking of the public investment program in Uganda. This stock-taking will provide a basis for better budgeting by providing information on the existing multi-year project commitments, and the incremental recurrent costs for operation and maintenance of the assets delivered. It will also identify a basic information structure for each project and subsequently collect a data baseline, providing a foundation for more robust project monitoring. It will aid the management of the overall project portfolio. By identifying the scale of existing multi-annual commitments, it will avoid adding projects to the investment pipeline, which cannot be financed under the Medium Term Expenditure Framework.
The data quality assessment shows that Kazakhstan is in observance of the Special Data Dissemination Standard, meeting the specifications for coverage, periodicity, timeliness, and the dissemination of advance release calendars. Executive Directors have suggested a set of recommendations that are designed to further increase Kazakhstan’s adherence to internationally accepted statistical practices and enhance the analytical usefulness of Kazakhstan’s statistics. Cross-cutting recommendations, national accounts, consumer and producer price indices, government finance statistics, monetary statistics, and balance of payments statistics were reviewed for the recommendations.
This data module of the Report on the Observance of Standards and Codes (ROSC) provides a summary assessment of dissemination practices in the Philippines relative to the Special Data Dissemination Standard (SDDS). It presents a summary assessment of data quality for national accounts, consumer price, producer price, balance of payments, government finance, and monetary statistics, based on the Data Quality Assessment Framework (DQAF). The assessment reveals that the statistical system of the Philippines is sustained by generally strong legal and institutional frameworks and solid methodological foundations.
The second edition of this book outline show to include the poor using the Participatory Poverty Assessment (PPA) method. This method was developed by the World Bank in partnerships with NGOs, governments, and academic institutions, and has been implemented in over 60 countries worldwide duringthe last decade. This book also draws on new PPA case examples. Joint publication with the World Bank.