The IMF Data Standards Initiatives enhance data transparency as a global public good. The Tenth Review updates the framework, in light of new data priorities, through a parsimonious and principles-based expansion of encouraged data categories covering selected aspects in the areas of public debt, macro-financial indicators, foreign exchange intervention, climate change-related policy, and gender- disaggregated labor market statistics. The Review also focuses on strengthening the monitoring of the first tier of the Data Standards Initiatives, the enhanced General Data Dissemination System (e-GDDS), and encouraging subscribers of the second tier, the Special Data Dissemination Standard (SDDS), to modernize data publication technology.

This Manual, which updates the first edition published in 1986, is a major advance in the standards for compilation and presentation of fiscal statistics. It is intended as a reference volume for compilers of government finance statistics, fiscal analysts, and other users of fiscal data. The Manual introduces accrual accounting, balance sheets, and complete coverage of government economic and financial activities. It covers concepts, definitions, classifications, and accounting rules, and provides a comprehensive framework for analysis, planning, and policy determination. To the extent possible, the Manual has been harmonized with the System of National Accounts 1993.

The International Monetary Fund (IMF) launched the data standards initiatives to enhance member countries’ data transparency and to promote their development of sound statistical systems. The need for data standards was highlighted by the financial crises of the mid-1990s, in which information deficiencies were seen to play a role. Under the data standards initiatives, the IMF established the Special Data Dissemination Standard (SDDS) in 1996 to provide guidance to countries that have or seek access to capital markets to disseminate key data so that users in general, and financial market participants in particular, have adequate information to assess the economic situations of individual countries. The SDDS not only prescribes that subscribers disseminate certain data categories, but also prescribes that subscribers disseminate the relevant metadata to promote public knowledge and understanding of their compilation practices with respect to the required data categories. In 1997, the IMF introduced under the initiatives the General Data Dissemination System (GDDS) to provide a framework for countries that aim to develop their statistical systems, within which they can work toward disseminating comprehensive and reliable data and, eventually, meet SDDS requirements. At the Eighth Review of the Fund’s Data Standards Initiatives in February 2012, the IMF’s Executive Board approved the SDDS Plus as an upper tier of the Fund’s data standards initiatives. The SDDS Plus is open to all SDDS subscribers and is aimed at economies with systemically important financial sectors.

The IMF Data Standards Initiatives enhance data transparency as a global public good. The Tenth Review updates the framework, in light of new data priorities, through a parsimonious and principles-based expansion of encouraged data categories covering selected aspects in the areas of public debt, macro-financial indicators, foreign exchange intervention, climate change-related policy, and gender- disaggregated labor market statistics. The Review also focuses on strengthening the monitoring of the first tier of the Data Standards Initiatives, the enhanced General Data Dissemination System (e-GDDS), and encouraging subscribers of the second tier, the Special Data Dissemination Standard (SDDS), to modernize data publication technology.

The global economy has experienced four waves of rapid debt accumulation over the past 50 years. The first three debt waves ended with financial crises in many emerging market and developing economies. During the current wave, which started in 2010, the increase in debt in these economies has already been larger, faster, and broader-based than in the previous three waves. Current low interest rates mitigate some of the risks associated with high debt. However, emerging market and developing economies are also confronted by weak growth prospects, mounting vulnerabilities, and elevated global risks. A menu of policy options is available to reduce the likelihood that the current debt wave will end in crisis and, if crises do take place, will alleviate their impact.

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

This update of the guidelines published in 2001 sets forth the underlying framework for the Reserves Data Template and provides operational advice for its use. The updated version also includes three new appendices aimed at assisting member countries in reporting the required data.

An effective state is essential to achieving socio-economic and sustainable development. With the advent of globalization, there are growing pressures on governments and organizations around the world to be more responsive to the demands of internal and external stakeholders for good governance, accountability and transparency, greater development effectiveness, and delivery of tangible results. Governments, parliaments, citizens, the private sector, NGOs, civil society, international organizations and donors are among the stakeholders interested in better performance. As demands for greater accountability and real results have increased, there is an attendant need for enhanced results-based monitoring and evaluation of policies, programs, and projects. This Handbook provides a comprehensive ten-step model that will help guide development practitioners through the process of designing and building a results-based monitoring and evaluation system. These steps begin with a OC Readiness AssessmentOCO and take the practitioner through the design, management, and importantly, the sustainability of such systems. The Handbook describes each step in detail, the tasks needed to complete each one, and the tools available to help along the way."

In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.

The International Monetary Fund’s Executive Board regularly reviews progress and developments under the Data Standards Initiatives. The last review—Eighth Review—undertaken in February 2012 introduced the Special Data Dissemination Standard (SDDS) Plus. In light of the long experience under the Data Standards Initiatives established in the mid-1990s, this review takes a longer term retrospective on what has been achieved so far, and highlights some of the lessons learned. What is evident is the contrast between the progress of countries with more advanced dissemination practices (SDDS and SDDS Plus), and the slow pace of improvement under the General Data Dissemination System (GDDS).