The world knows that there is a global crisis of inequality in pay. But what caused it? Where is it more and where less severe? What can be done? This book deploys new techniques and a new global data set to advance striking answers to these questions, answers that have eluded even the largest international research institutions such as the OECD and the World Bank. Chapters trace the U.S. wage structure back to 1920, the relationship of inequality and unemployment in Europe, and the relationships of inequality to economic growth, liberalization, financial crisis, state violence and industrial policy in more than fifty developing countries.

Originally published in 1983, The Changing Face of Inequality is the first systematic social history of a major American city undergoing industrialization. Zunz examines Detroit's evolution between 1880 and 1920 and discovers the ways in which ethnic and class relations profoundly altered its urban scene. Stunning in scope, this work makes a major contribution to our understanding of twentieth-century cities.

World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolu­tion, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wear­able sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manu­facturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individu­als. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frame­works that advance progress.

An innovative approach to measuring inequality providing the first full integration of distributional and macro level data for the US.

This paper analyzes the extent of income inequality from a global perspective, its drivers, and what to do about it. The drivers of inequality vary widely amongst countries, with some common drivers being the skill premium associated with technical change and globalization, weakening protection for labor, and lack of financial inclusion in developing countries. We find that increasing the income share of the poor and the middle class actually increases growth while a rising income share of the top 20 percent results in lower growth—that is, when the rich get richer, benefits do not trickle down. This suggests that policies need to be country specific but should focus on raising the income share of the poor, and ensuring there is no hollowing out of the middle class. To tackle inequality, financial inclusion is imperative in emerging and developing countries while in advanced economies, policies should focus on raising human capital and skills and making tax systems more progressive.

Over the past few decades, US business and industry have been transformed by the advances and redundancies produced by the knowledge economy. The workplace has changed, and much of the work differs from that performed by previous generations. Can human capital accumulation in the United States keep pace with the evolving demands placed on it, and how can the workforce of tomorrow acquire the skills and competencies that are most in demand? Education, Skills, and Technical Change explores various facets of these questions and provides an overview of educational attainment in the United States and the channels through which labor force skills and education affect GDP growth. Contributors to this volume focus on a range of educational and training institutions and bring new data to bear on how we understand the role of college and vocational education and the size and nature of the skills gap. This work links a range of research areas—such as growth accounting, skill development, higher education, and immigration—and also examines how well students are being prepared for the current and future world of work.

The Fund has recognized in recent years that one cannot separate issues of economic growth and stability on one hand and equality on the other. Indeed, there is a strong case for considering inequality and an inability to sustain economic growth as two sides of the same coin. Central to the Fund’s mandate is providing advice that will enable members’ economies to grow on a sustained basis. But the Fund has rightly been cautious about recommending the use of redistributive policies given that such policies may themselves undercut economic efficiency and the prospects for sustained growth (the so-called “leaky bucket” hypothesis written about by the famous Yale economist Arthur Okun in the 1970s). This SDN follows up the previous SDN on inequality and growth by focusing on the role of redistribution. It finds that, from the perspective of the best available macroeconomic data, there is not a lot of evidence that redistribution has in fact undercut economic growth (except in extreme cases). One should be careful not to assume therefore—as Okun and others have—that there is a big tradeoff between redistribution and growth. The best available macroeconomic data do not support such a conclusion.