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The sizeable increase in income inequality experienced in advanced economies and many parts of the world since the 1990s and the severe consequences of the global economic and financial crisis have brought distributional issues to the top of the policy agenda. The challenge for many governments is to address concerns over rising inequality while simultaneously promoting economic efficiency and more robust economic growth. The book delves into this discussion by analyzing fiscal policy and its link with inequality. Fiscal policy is the government’s most powerful tool for addressing inequality. It affects households ‘consumption directly (through taxes and transfers) and indirectly (via incentives for work and production and the provision of public goods and individual services such as education and health). An important message of the book is that growth and equity are not necessarily at odds; with the appropriate mix of policy instruments and careful policy design, countries can in many cases achieve better distributional outcomes and improve economic efficiency. Country studies (on the Netherlands, China, India, Republic of Congo, and Brazil) demonstrate the diversity of challenges across countries and their differing capacity to use fiscal policy for redistribution. The analysis presented in the book builds on and extends work done at the IMF, and also includes contributions from leading academics.
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 2007–09 international financial crisis underscored the importance of reliable and timely statistics on the general government and public sectors. Government finance statistics are a basis for fiscal analysis and they play a vital role in developing and monitoring sound fiscal programs and in conducting surveillance of economic policies. The Government Finance Statistics Manual 2014 represents a major step forward in clarifying the standards for compiling and presenting fiscal statistics and strengthens the worldwide effort to improve public sector reporting and transparency.
This June 2015 issue of International Financial Statistics (IFS) is a standard source of statistics on all aspects of international and domestic finance. IFS publish, for most countries of the world, current data on exchange rates, international liquidity, international banking, money and banking, interest rates, prices, production, international transactions (including balance of payments and international investment position), government finance, and national accounts. Information is presented in tables for specific countries and in tables for area and world aggregates. IFS is published monthly and annually. In IFS, exchange rates are expressed in time series of national currency units per SDR (the unit of account for the IMF) and national currency units per US dollar, or vice versa.
This July 2015 issue of International Financial Statistics (IFS) is a standard source of statistics on all aspects of international and domestic finance. This issue contains country pages for Marshall Islands, Palau, and Tuvalu. IFS contain country tables for most IMF members, as well as for Anguilla, Aruba, the Central African Economic and Monetary Community, Curaçao, the currency union of Curaçao and Sint Maarten, the Eastern Caribbean Currency Union, the euro area, Montserrat, the former Netherlands Antilles, Sint Maarten, the West African Economic Monetary Union, West Bank and Gaza, and some non-sovereign territorial entities for which statistics are provided internationally on a separate basis. Also, selected series are drawn from the country tables and published in area and world tables. The country tables normally include data on a country’s exchange rates, IMF position, international liquidity, monetary statistics, interest rates, prices, production, labor, international transactions, government accounts, national accounts, and population. Selected series, including data on Fund accounts, international reserves, and international trade, are drawn from the country tables and published in world tables as well.
This edition of Monetary and Financial Statistics Manual and Compilation Guide (Manual) updates and merges into one volume methodological and practical aspects of the compilation process of monetary statistics. The Manual is aimed at compilers and users of monetary data, offering guidance for the collection and analytical presentation of monetary statistics. The Manual includes standardized report forms, providing countries with a tool for compiling and reporting harmonized data for the central bank, other depository corporations, and other financial corporations.
Major macroeconomic realignments are affecting prospects differentially across the world’s countries and regions. The April 2016 WEO examines the causes and implications of these realignments—including the slowdown and rebalancing in China, a further decline in commodity prices, a related slowdown in investment and trade, and declining capital flows to emerging market and developing economies—which are generating substantial uncertainty and affecting the outlook for the global economy. Additionally, analytical chapters examine the slowdown in capital flows to emerging market economies since their 2010 peak—its main characteristics, how it compares with past slowdowns, the factors that are driving it, and whether exchange rate flexibility has changed the dynamics of the capital inflow cycle—and assess whether product and labor market reforms can improve the economic outlook in advanced economies, looking at the recent evolution and scope for further reform, the channels through which reforms affect economic activity under strong versus weak economic conditions, reforms’ short- to medium-term macroeconomic effects, and sequencing of reforms and coordination with other policies to maximize their potential quantitative economic benefits. A special feature analyzes in depth the energy transition in an era of low fossil fuel prices.
This monthly issue of International Financial Statistics (IFS) contains country tables for most IMF members, as well as for Anguilla, Aruba, the Central African Economic and Monetary Community, Curaçao, the currency union of Curaçao and Sint Maarten, the Eastern Caribbean Currency Union, the euro area, Montserrat, the former Netherlands Antilles, Sint Maarten, the West African Economic Monetary Union, West Bank and Gaza, and some non-sovereign territorial entities for which statistics are provided internationally on a separate basis. Exchange rates in IFS are classified into three broad categories, reflecting the role of the authorities in determining the rates and/or the multiplicity of the exchange rates in a country. The three categories are the market rate, describing an exchange rate determined largely by market forces; the official rate, describing an exchange rate determined by the authorities—sometimes in a flexible manner; and the principal, secondary, or tertiary rate, for countries maintaining multiple exchange arrangements.
The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.