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Omer Faruk Akbal
,
Mr. Seung M Choi
,
Mr. Futoshi Narita
, and
Jiaxiong Yao
Quarterly GDP statistics facilitate timely economic assessment, but the availability of such data are limited for more than 60 developing economies, including about 20 countries in sub-Saharan Africa as well as more than two-thirds of fragile and conflict-affected states. To address this limited data availablity, this paper proposes a panel approach that utilizes a statistical relationship estimated from countries where data are available, to estimate quarterly GDP statistics for countries that do not publish such statistics by leveraging the indicators readily available for many countries. This framework demonstrates potential, especially when applied for similar country groups, and could provide valuable real-time insights into economic conditions supported by empirical evidence.
International Monetary Fund. Statistics Dept.

Abstract

The 2018 Annual Report of the IMF Committee on Balance of Payments Statistics provides an overview of trends in global balance of payments statistics.

Lisbeth Rivas
and
Mr. Joe Crowley
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.
International Monetary Fund. Fiscal Affairs Dept.
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.
International Monetary Fund
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.
International Monetary Fund

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.

International Monetary Fund

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.

Ms. Caroline M Kende-Robb

Abstract

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.

Ms. Caroline M Kende-Robb

Abstract

Participatory poverty assessments (PPAs) are broadening our understanding of both poverty and the policy process. The limitations of quantitative measurements of well-being have long been recognized, and there is a rich tradition of anthropological and sociological work that uses a range of techniques to achieve an in-depth understanding of poverty for project work. In this tradition, PPAs use a systematic participatory research process that directly involves the poor in defining the nature of poverty, with the objective of influencing policy. This process usually addresses both traditional concerns, such as lack of income and public services, and other dimensions, such as vulnerability, isolation, lack of security and self-respect, and powerlessness.

Ms. Caroline M Kende-Robb

Abstract

Including the poor in policy dialogue has great potential for creating better poverty reduction policies. The original rationale of the participatory poverty assessments (PPAs) was to influence the policy dialogue by collecting information on the poor’s perceptions of poverty. Most PPAs have achieved this objective to some degree, but with substantial variation in the level of impact. The PPAs with the greatest impact tended to be those that implicitly or explicitly had more ambitious objectives. It is useful to assess impact in relation to three objectives: