The 1993 SNA represents a major advance in national accounting. While updating and clarifying the 1968 SNA, the 1993 SNA provides the basis for improving compilation of national accounts statistics, promoting integration of economic and related statistics, and enhancing analysis of economic developments. The 1993 SNA deals more clearly with relationships between economic flows (such as production, income, savings, accumulation, and financing) and links between these flows and stocks. At the same time the 1993 SNA reflects the many significant developments that have taken place in financial markets and completes the integration of balance sheets into the system. The 1993 SNA also suggests how satellite accounts (e.g. environmental accounts) and alternative classifications (e.g., through social accounting matrices) an be used to augment the central framework of the system.

This Manual provides guidance to compilers of national accounts on the concepts, data sources, and compilation methods required for development of a system of quarterly national accounts. More and more countries are recognizing that quarterly national accounts are an essential tool for management and analysis of their economy. The Manual is intended particularly for compilers who already have a knowledge of annual national accounting concepts and methods, and provides techniques for the development of a consistent time series of annual and quarterly accounts. It serves as acomplement to the System of National Accounts 1993, which has only a limited discussion of quarterly accounts, and will also prove useful as a tool for sophisticated users of quarterly national accounts.

This is an update of OECD 2006 "Understanding National Accounts". It contains new data, new chapters and is adapted to the new systems of national accounts, SNA 2008 and ESA 2010.

The purpose of this handbook is to assist countries in the implementation of the System of National Accounts 1993. It seeks to provide an introduction to basic concepts and structures, with simple exercises included, whenever possible, to elucidate matters. The publication also gives an example of the complete system in Excel, with formulas to help readers trace linkages in the system. It is divided into three sections, dealing with accounts of the nation; integrated accounts by industries and institutional sectors; data collection and estimation methods.

In this valuable volume, Nobel Prize-winner Klein gathers together a group of authors who focus on forecasting models for a number of economies. The variety of the models and the structural differences among them are especially interesting. . . Readers interested in forecasting methodologies will find much of value in this volume. Highly recommended. I. Walter, Choice This important book, prepared under the direction of Nobel Laureate Lawrence R. Klein, shows how economic forecasts are made. It explains how modern developments in information technology have made it possible to forecast frequently at least monthly but also weekly or bi-weekly depending upon the perceived needs of potential forecast users and also on the availability of updated material. The book focuses on forecasts in a diverse range of economies including the United States, China, India, Russia, Germany, Japan, South Korea, and Turkey. At a time of great economic uncertainty, this book makes an important contribution by showing how new information technology can be used to prepare national economic forecasts.

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.

This Handbook aims to provide practical guidance on the calculation and allocation of the production of various types of financial services and issues related to the compilation of the financial account and balance sheets by institutional sector in the context of from-whom-to-whom relationships. The Handbook complements the 2008 SNA and related manuals, handbooks and guides. The concepts are described and defined in line with the 2008 SNA. Where appropriate, illustrative worked examples with step-by-step guidance are provided in the Handbook to give compilers and users a better picture of how to apply and interpret the various concepts. The Handbook is useful for staff working in national statistical offices, national central banks, international organizations and other institutions engaged in collecting, compiling and disseminating national accounts data, specifically on the financial corporations sector and financial account, and for users requiring a better understanding of such data.