Automation and Its Macroeconomic Consequences reveals new ways to understand the economic characteristics of our increasing dependence on machines. Illuminating technical and social elements, it describes economic policies that could counteract negative income distribution consequences of automation without hampering the adoption of new technologies. Arguing that modern automation cannot be compared to the Industrial Revolution, it considers consequences of automation such as spatial patterns, urbanization, and regional concerns. In touching upon labor, growth, demographic, and policy, Automation and its Macroeconomic Consequences stands at the intersection of technology and economics, offering a comprehensive portrait illustrated by empirical observations and examples. - Introduces formal growth models that include automation and the empirical specifications on which the data-driven results rely - Focuses on formal modeling, empirical analysis and derivation of evidence-based policy conclusions - Considers consequences of automation, such as spatial patterns, urbanization and regional concerns

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.

Many studies predict massive job losses and real wage decline as a result of the ongoing widespread automation of production, a trend that may be further aggravated by the COVID-19 crisis. Yet automation is also expected to raise productivity and output. How can we share the gains from automation more widely, for the benefit of all? And what are the attendant equity-efficiency trade-offs? We analyze this issue by considering the effects of fiscal policies that seek to redistribute the gains from automation and address income inequality. We use a dynamic general equilibrium model with monopolistic competition, including a novel specification linking corporate power to automation. While fiscal policy cannot eliminate the classic equity-efficiency trade-offs, it can help improve them, reducing inequality at small or no loss of output. This is particularly so when policy takes advantage of novel, less distortive transmission channels of fiscal policy created by the empirically observed link between corporate market power and automation.

Although the future extent and effects of global climate change remain uncertain, the expected damages are not zero, and risks of serious environmental and macroeconomic consequences rise with increasing atmospheric greenhouse gas concentrations. Despite the uncertainties, reducing emissions now makes sense, and a carbon tax is the simplest, most effective, and least costly way to do this. At the same time, a carbon tax would provide substantial new revenues which may be badly needed, given historically high debt-to-GDP levels, pressures on social security and medical budgets, and calls to reform taxes on personal and corporate income. This book is about the practicalities of introducing a carbon tax, set against the broader fiscal context. It consists of thirteen chapters, written by leading experts, covering the full range of issues policymakers would need to understand, such as the revenue potential of a carbon tax, how the tax can be administered, the advantages of carbon taxes over other mitigation instruments and the environmental and macroeconomic impacts of the tax. A carbon tax can work in the United States. This volume shows how, by laying out sound design principles, opportunities for broader policy reforms, and feasible solutions to specific implementation challenges.

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Education and educational systems represent a powerful source of success (or failure) for any political community. The emergence of AI and new technologies will progressively transform the labour market, leading to technological unemployment. In this scenario, promoting pedagogical strategies fostering deeper learning represents an ethical and pragmatic commitment to synchronize education with the ongoing socio-economic transformations. In line with the road ahead, the scope of the volume is to collect ideas, reflections and experiences related to deeper learning and skill development in the education environment.

This paper reviews the literature on financial crises focusing on three specific aspects. First, what are the main factors explaining financial crises? Since many theories on the sources of financial crises highlight the importance of sharp fluctuations in asset and credit markets, the paper briefly reviews theoretical and empirical studies on developments in these markets around financial crises. Second, what are the major types of financial crises? The paper focuses on the main theoretical and empirical explanations of four types of financial crises—currency crises, sudden stops, debt crises, and banking crises—and presents a survey of the literature that attempts to identify these episodes. Third, what are the real and financial sector implications of crises? The paper briefly reviews the short- and medium-run implications of crises for the real economy and financial sector. It concludes with a summary of the main lessons from the literature and future research directions.

Ageing populations pose some of the foremost global challenges of this century. Drawing on an international pool of scholars, this cutting-edge Handbook surveys the micro, macro and institutional aspects of the economics of ageing. Structured in seven parts, the volume addresses a broad range of themes, including health economics, labour economics, pensions and social security, generational accounting, wealth inequality and regional perspectives. Each chapter combines a succinct overview of the state of current research with a sketch of a promising future research agenda. This Handbook will be an essential resource for advanced students, researchers and policymakers looking at the economics of ageing across the disciplines of economics, demography, public policy, public health and beyond. Chapter 37 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution (CC-BY) 4.0 license.

This comprehensive Encyclopedia delves into the underpinnings, approaches, and recent advancements in the dynamic global landscape of happiness and wellbeing research. Laying out the foundational concepts and disciplinary perspectives in the field, international leading and diverse authors survey the determinants and mechanisms which are associated with happiness, quality of life and subjective wellbeing. This title contains one or more Open Access entries.