In 21 prescriptive rather than descriptive treatments, well known academic economists set out how they think the discipline should be practiced both internally and in relation to other fields and arenas of society. They explore economics as a historical process and as a public science, realism in model buildings, social science, normative and positive aspects, extracting information from data, and worthwhile economics. Annotation copyright by Book News, Inc., Portland, OR.

This textbook articulates the elements of good craftsmanship in applied microeconomic research and demonstrates its effectiveness with multiple examples from economic literature. Empirical economic research is a combination of several elements: theory, econometric modelling, institutional analysis, data handling, estimation, inference, and interpretation. A large body of work demonstrates how to do many of these things correctly, but to date, there is no central resource available which articulates the essential principles involved and ties them together. In showing how these research elements can be best blended to maximize the credibility and impact of the findings that result, this book presents a basic framework for thinking about craftsmanship. This framework lays out the proper context within which the researcher should view the analysis, involving institutional factors, complementary policy instruments, and competing hypotheses that can influence or explain the phenomena being studied. It also emphasizes the interconnectedness of theory, econometric modeling, data, estimation, inference, and interpretation, arguing that good craftsmanship requires strong links between each. Once the framework has been set, the book devotes a chapter to each element of the analysis, providing robust instruction for each case. Assuming a working knowledge of econometrics, this text is aimed at graduate students and early-career academic researchers as well as empirical economists looking to improve their technique.

"Policy-makers often call for expanding public spending on infrastructure, which includes a broad range of investments from roads and bridges to digital networks that will expand access to high-speed broadband. Some point to near-term macro-economic benefits and job creation, others focus on long-term effects on productivity and economic growth. This volume explores the links between infrastructure spending and economic outcomes, as well as key economic issues in the funding and management of infrastructure projects. It draws together research studies that describe the short-run stimulus effects of infrastructure spending, develop new estimates of the stock of U.S. infrastructure capital, and explore the incentive aspects of public-private partnerships (PPPs). A salient issue is the treatment of risk in evaluating publicly-funded infrastructure projects and in connection with PPPs. The goal of the volume is to provide a reference for researchers seeking to expand research on infrastructure issues, and for policy-makers tasked with determining the appropriate level of infrastructure spending"--

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.

Conventional wisdom once held that the demand for addictive substances like cigarettes, alcohol, and drugs was unlike that for any other economic good and, therefore, unresponsive to traditional market forces. Recently, however, researchers from two disparate fields, economics and behavioral psychology, have found that increases in the overall price of an addictive substance can significantly reduce both the number of users and the amounts those users consume. Changes in the "full price" of addictive substances—including monetary value, time outlay, effort to obtain, and potential penalties for illegal use—yield marked variations in behavioral outcomes and demand. The Economic Analysis of Substance Use and Abuse brings these distinctive fields of study together and presents for the first time an integrated assessment of their data and results. Unique and innovative, this multidisciplinary volume will serve as an important resource in the current debates concerning alcohol and drug use and abuse and the impacts of legalizing illicit drugs.

This book presents introductory economics material using standard mathematical tools, including calculus. It is designed for a relatively sophisticated undergraduate who has not taken a basic university course in economics. The book can easily serve as an intermediate microeconomics text. The focus of this book is on the conceptual tools. Contents: 1) What is Economics? 2) Supply and Demand. 3) The US Economy. 4) Producer Theory. 5) Consumer Theory. 6) Market Imperfections. 7) Strategic Behavior.

Orthodox economics operates within a hypothesized world of perfect competition in which perfect consumers and firms act to bring about supposedly optimal outcomes. The discrepancies between this model and the reality it claims to address are then attributed to particular imperfections in reality itself. Most heterodox economists seize on this fact and insist that the world is characterized by imperfect competition. But this only ties them to the notion of perfect competition, which remains as their point of departure and base of comparison. There is no imperfection without perfection. In Capitalism, Anwar Shaikh takes a different approach. He demonstrates that most of the central propositions of economic analysis can be derived without any reference to standard devices such as hyperrationality, optimization, perfect competition, perfect information, representative agents, or so-called rational expectations. This perspective allows him to look afresh at virtually all the elements of economic analysis: the laws of demand and supply, the determination of wage and profit rates, technological change, relative prices, interest rates, bond and equity prices, exchange rates, terms and balance of trade, growth, unemployment, inflation, and long booms culminating in recurrent general crises. In every case, Shaikh's innovative theory is applied to modern empirical patterns and contrasted with neoclassical, Keynesian, and Post-Keynesian approaches to the same issues. Shaikh's object of analysis is the economics of capitalism, and he explores the subject in this expansive light. This is how the classical economists, as well as Keynes and Kalecki, approached the issue. Anyone interested in capitalism and economics in general can gain a wealth of knowledge from this ground-breaking text.