Statistical agencies worldwide are increasingly turning to new data sources, including administrative data, to improve statistical coverage. Administrative data can significantly enhance the quality of national statistics and produce synergies with tax administration and other government agencies, supporting better decision making, policy advice, and economic performance. Compared to economic censuses and business surveys, administrative data are less burdensome to collect and produce more timely, detailed, and accurate data with better coverage. This paper specifically explores the use of value added tax and income tax records to enhance the compilation of national accounts statistics.
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.
This Report on the Observance of Standards And Codes (ROSC) on data module for Uganda provides an assessment of Uganda’s macroeconomic statistics against the recommendations of the General Data Dissemination System (GDDS) complemented by an assessment of data quality based on the IMF’s Data Quality Assessment Framework. This ROSC data module contains the main observations covering four macroeconomic data sets, namely national accounts, the consumer price index (CPI), government finance statistics (GFS), and balance of payments (BOP). It also provides an overview of the dissemination practices compared with the GDDS.
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.