Conference On Regulation By National Bureau Of Economic Research 2 V

The past thirty years have witnessed a transformation of government economic intervention in broad segments of industry throughout the world. Many industries historically subject to economic price and entry controls have been largely deregulated, including natural gas, trucking, airlines, and commercial banking. However, recent concerns about market power in restructured electricity markets, airline industry instability amid chronic financial stress, and the challenges created by the repeal of the Glass-Steagall Act, which allowed commercial banks to participate in investment banking, have led to calls for renewed market intervention. Economic Regulation and Its Reform collects research by a group of distinguished scholars who explore these and other issues surrounding government economic intervention. Determining the consequences of such intervention requires a careful assessment of the costs and benefits of imperfect regulation. Moreover, government interventions may take a variety of forms, from relatively nonintrusive performance-based regulations to more aggressive antitrust and competition policies and barriers to entry. This volume introduces the key issues surrounding economic regulation, provides an assessment of the economic effects of regulatory reforms over the past three decades, and examines how these insights bear on some of today’s most significant concerns in regulatory policy.

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.