The first consumer credit bureaus appeared in the 1870s and quickly amassed huge archives of deeply personal information. Today, the three leading credit bureaus are among the most powerful institutions in modern life—yet we know almost nothing about them. Experian, Equifax, and TransUnion are multi-billion-dollar corporations that track our movements, spending behavior, and financial status. This data is used to predict our riskiness as borrowers and to judge our trustworthiness and value in a broad array of contexts, from insurance and marketing to employment and housing. In Creditworthy, the first comprehensive history of this crucial American institution, Josh Lauer explores the evolution of credit reporting from its nineteenth-century origins to the rise of the modern consumer data industry. By revealing the sophistication of early credit reporting networks, Creditworthy highlights the leading role that commercial surveillance has played—ahead of state surveillance systems—in monitoring the economic lives of Americans. Lauer charts how credit reporting grew from an industry that relied on personal knowledge of consumers to one that employs sophisticated algorithms to determine a person's trustworthiness. Ultimately, Lauer argues that by converting individual reputations into brief written reports—and, later, credit ratings and credit scores—credit bureaus did something more profound: they invented the modern concept of financial identity. Creditworthy reminds us that creditworthiness is never just about economic "facts." It is fundamentally concerned with—and determines—our social standing as an honest, reliable, profit-generating person.

A calculation of the social returns to innovation /Benjamin F. Jones and Lawrence H. Summers --Innovation and human capital policy /John Van Reenen --Immigration policy levers for US innovation and start-ups /Sari Pekkala Kerr and William R. Kerr --Scientific grant funding /Pierre Azoulay and Danielle Li --Tax policy for innovation /Bronwyn H. Hall --Taxation and innovation: what do we know? /Ufuk Akcigit and Stefanie Stantcheva --Government incentives for entrepreneurship /Josh Lerner.

Controlling inflation is among the most important objectives of economic policy. By maintaining price stability, policy makers are able to reduce uncertainty, improve price-monitoring mechanisms, and facilitate more efficient planning and allocation of resources, thereby raising productivity. This volume focuses on understanding the causes of the Great Inflation of the 1970s and ’80s, which saw rising inflation in many nations, and which propelled interest rates across the developing world into the double digits. In the decades since, the immediate cause of the period’s rise in inflation has been the subject of considerable debate. Among the areas of contention are the role of monetary policy in driving inflation and the implications this had both for policy design and for evaluating the performance of those who set the policy. Here, contributors map monetary policy from the 1960s to the present, shedding light on the ways in which the lessons of the Great Inflation were absorbed and applied to today’s global and increasingly complex economic environment.

This volume offers contributions to questions relating to the economics of innovation and technological change. Central to the development of new technologies are institutional environments and among the topics discussed are the roles played by universities and the ways in which the allocation of funds affects innovation.

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.