Inequality is one of the most discussed topics of our times. Yet, we still do not know how to tackle the issue effectively. The book argues that this is due to the lack of understanding the structures responsible for the persistence of social inequality. It enquires into the mechanisms that produce and reproduce invisible dividing lines in society. Based on original case studies of Brazil, Germany, India and Laos comprising thousands of interviews, the authors argue that invisible classes emerge in capitalist societies, both reproducing and transforming precapitalist hierarchies. At the same time, locally particular forms of inequality persist. Social inequality in the contemporary world has to be understood as a specific combination of precapitalist inequalities, capitalist transformation and a particular class structure, which seems to emerge in all capitalist societies. The book links the configurations to an interpretation of global domination as well as to symbolic classification.

Many in the United States feel that the nation’s current level of economic inequality is unfair and that capitalism is not working for 90% of the population. Yet some inequality is inevitable. The question is: What level of inequality is fair? Mainstream economics has offered little guidance on fairness and the ideal distribution of income. Political philosophy, meanwhile, has much to say about fairness yet relies on qualitative theories that cannot be verified by empirical data. To address inequality, we need to know what the goal is—and for this, we need a quantitative, testable theory of fairness for free-market capitalism. How Much Inequality Is Fair? synthesizes concepts from economics, political philosophy, game theory, information theory, statistical mechanics, and systems engineering into a mathematical framework for a fair free-market society. The key to this framework is the insight that maximizing fairness means maximizing entropy, which makes it possible to determine the fairest possible level of pay inequality. The framework therefore provides a moral justification for capitalism in mathematical terms. Venkat Venkatasubramanian also compares his theory’s predictions to actual inequality data from various countries—showing, for instance, that Scandinavia has near-ideal fairness, while the United States is markedly unfair—and discusses the theory’s implications for tax policy, social programs, and executive compensation.

"Examines patterns of income inequality among 16 advanced democracies from the mid 1970s to the early 2000s and explains why some societies have a large and growing divide between the rich and the poor while others, facing similar global economic pressures, maintain more egalitarian income distributions"--Provided by publisher.

For the first time in history, the globe is dominated by one economic system. Capitalism prevails because it delivers prosperity and meets desires for autonomy. But it also is unstable and morally defective. Surveying the varieties and futures of capitalism, Branko Milanovic offers creative solutions to improve a system that isn’t going anywhere.

US President Barack Obama has called economic inequality the “defining issue of our time.” It has inspired the “Occupy” movements, made a French economist into a global celebrity, and given us a new expression – the “one percent.” But is our preoccupation with inequality really justified? Or wise? In his new book, William Watson argues that focusing on inequality is both an error and a trap. It is an error because much inequality is “good,” the reward for thrift, industry, and invention. It is a trap because it leads us to fixate on the top end of the income distribution, rather than on those at the bottom who need help most. In fact, if we respond to growing inequality by fighting capitalism rather than poverty, we may end up both poorer and less equal. Explaining the complexities of modern economics in a clear, accessible style, The Inequality Trap is the must-read rejoinder to the idea that fighting inequality should be our top policy priority.

What are the grand dynamics that drive the accumulation and distribution of capital? Questions about the long-term evolution of inequality, the concentration of wealth, and the prospects for economic growth lie at the heart of political economy. But satisfactory answers have been hard to find for lack of adequate data and clear guiding theories. In this work the author analyzes a unique collection of data from twenty countries, ranging as far back as the eighteenth century, to uncover key economic and social patterns. His findings transform debate and set the agenda for the next generation of thought about wealth and inequality. He shows that modern economic growth and the diffusion of knowledge have allowed us to avoid inequalities on the apocalyptic scale predicted by Karl Marx. But we have not modified the deep structures of capital and inequality as much as we thought in the optimistic decades following World War II. The main driver of inequality--the tendency of returns on capital to exceed the rate of economic growth--today threatens to generate extreme inequalities that stir discontent and undermine democratic values if political action is not taken. But economic trends are not acts of God. Political action has curbed dangerous inequalities in the past, the author says, and may do so again. This original work reorients our understanding of economic history and confronts us with sobering lessons for today.

Networks powered by algorithms are pervasive. Major contemporary technology trends - Internet of Things, Big Data, Digital Platform Power, Blockchain, and the Algorithmic Society - are manifestations of this phenomenon. The internet, which once seemed an unambiguous benefit to society, is now the basis for invasions of privacy, massive concentrations of power, and wide-scale manipulation. The algorithmic networked world poses deep questions about power, freedom, fairness, and human agency. The influential 1997 Federal Communications Commission whitepaper “Digital Tornado” hailed the “endless spiral of connectivity” that would transform society, and today, little remains untouched by digital connectivity. Yet fundamental questions remain unresolved, and even more serious challenges have emerged. This important collection, which offers a reckoning and a foretelling, features leading technology scholars who explain the legal, business, ethical, technical, and public policy challenges of building pervasive networks and algorithms for the benefit of humanity. This title is also available as Open Access on Cambridge Core.