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Volume 32 of the NBER Macroeconomics Annual features six theoretical and empirical studies of important issues in contemporary macroeconomics, and a keynote address by former IMF chief economist Olivier Blanchard. In one study, SeHyoun Ahn, Greg Kaplan, Benjamin Moll, Thomas Winberry, and Christian Wolf examine the dynamics of consumption expenditures in non-representative-agent macroeconomic models. In another, John Cochrane asks which macro models most naturally explain the post-financial-crisis macroeconomic environment, which is characterized by the co-existence of low and nonvolatile inflation rates, near-zero short-term interest rates, and an explosion in monetary aggregates. Manuel Adelino, Antoinette Schoar, and Felipe Severino examine the causes of the lending boom that precipitated the recent U.S. financial crisis and Great Recession. Steven Durlauf and Ananth Seshadri investigate whether increases in income inequality cause lower levels of economic mobility and opportunity. Charles Manski explores the formation of expectations, considering the efficacy of directly measuring beliefs through surveys as an alternative to making the assumption of rational expectations. In the final research paper, Efraim Benmelech and Nittai Bergman analyze the sharp declines in debt issuance and the evaporation of market liquidity that coincide with most financial crises. Blanchard’s keynote address discusses which distortions are central to understanding short-run macroeconomic fluctuations.
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.
An essential introduction to one of the most timely and important subjects in economics International Macroeconomics presents a rigorous and theoretically elegant treatment of real-world international macroeconomic problems, incorporating the latest economic research while maintaining a microfounded, optimizing, and dynamic general equilibrium approach. This one-of-a-kind textbook introduces a basic model and applies it to fundamental questions in international economics, including the determinants of the current account in small and large economies, processes of adjustment to shocks, the determinants of the real exchange rate, the role of fixed and flexible exchange rates in models with nominal rigidities, and interactions between monetary and fiscal policy. The book confronts theoretical predictions using actual data, highlighting both the power and limits of given theories and encouraging critical thinking. Provides a rigorous and elegant treatment of fundamental questions in international macroeconomicsBrings undergraduate and master’s instruction in line with modern economic researchFollows a microfounded, optimizing, and dynamic general equilibrium approachAddresses fundamental questions in international economics, such as the role of capital controls in the presence of financial frictions and balance-of-payments crisesUses real-world data to test the predictions of theoretical modelsFeatures a wealth of exercises at the end of each chapter that challenge students to hone their theoretical skills and scrutinize the empirical relevance of modelsAccompanied by a website with lecture slides for every chapter
This volume contains six studies on current topics in macroeconomics. The first shows that while assuming rational expectations is unrealistic, a finite-horizon forward planning model can yield results similar to those of a rational expectations equilibrium. The second explores the aggregate risk of the U.S. financial sector, and in particular whether it is safer now than before the 2008 financial crisis. The third analyzes “factorless income,” output that is not measured as capital or labor income. Next, a study argues that the financial crisis increased the perceived risk of a very bad economic and financial outcome, and explores the propagation of large, rare shocks. The next paper documents the substantial recent changes in the manufacturing sector and the decline in employment among prime-aged Americans since 2000. The last paper analyzes the dynamic macroeconomic effects of border adjustment taxes.
Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.
"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"--
From Nobel Prize–winning economist and New York Times bestselling author Robert Shiller, a groundbreaking account of how stories help drive economic events—and why financial panics can spread like epidemic viruses Stories people tell—about financial confidence or panic, housing booms, or Bitcoin—can go viral and powerfully affect economies, but such narratives have traditionally been ignored in economics and finance because they seem anecdotal and unscientific. In this groundbreaking book, Robert Shiller explains why we ignore these stories at our peril—and how we can begin to take them seriously. Using a rich array of examples and data, Shiller argues that studying popular stories that influence individual and collective economic behavior—what he calls "narrative economics"—may vastly improve our ability to predict, prepare for, and lessen the damage of financial crises and other major economic events. The result is nothing less than a new way to think about the economy, economic change, and economics. In a new preface, Shiller reflects on some of the challenges facing narrative economics, discusses the connection between disease epidemics and economic epidemics, and suggests why epidemiology may hold lessons for fighting economic contagions.
The increasing creation, support, use and consumption of digital representation of information touches a wide breadth of economic activities. This digitization has transformed social interactions, facilitated entirely new industries and undermined others and reshaped the ability of people - consumers, job seekers, managers, government officials and citizens - to access and leverage information. This important book includes seminal papers addressing topics such as the causes and consequences of digitization, factors shaping the structure of products and services and creating an enormous range of new applications and how market participants make their choices over strategic organization, market conduct, and public policies. This authoritative collection, with an original introduction by the editors, will be an invaluable source of reference for students, academics and practitioners with an interest in the economics of digitisation and the digital economy.
It is not common for an entire scholarly literature to be based on a fallacy, that is, 'on faulty reasoning; misleading or unsound argument'. The 'fiscal theory of the price level', recently re-developed by Woodford, Cochrane, Sims and others, is an example of a fatally flawed research programme. The source of the fallacy is an economic misspecification. The proponents of the fiscal theory of the price level do not accept the fundamental proposition that the government's intertemporal budget constraint is a constraint on the government's instruments that must be satisfied for all admissible values of the economy-wide endogenous variables. Instead they require it to be satisfied only in equilibrium. This economic misspecification has implications for the mathematical or logical properties of the equilibria supported by models purporting to demonstrate the properties of the fiscal approach. These include: overdetermined (internally inconsistent) equilibria; anomalies like the apparent ability to price things that do not exist; the need for arbitrary restrictions on the exogenous and predetermined variables in the government's budget constraint; and anomalous behaviour of the equilibrium' price sequences, including behaviour that will ultimately violate physical resource constraints. The issue is of more than academic interest. Policy conclusions could be drawn from the fiscal theory of the price level that would be harmful if they influenced the actual behaviour of the fiscal and monetary authorities. The fiscal theory of the price level implies that a government could exogenously fix its real spending, revenue and seigniorage plans, and that the general price level would adjust the real value of its contractual nominal debt obligations so as to ensure government solvency. When reality dawns, the result could be painful fiscal tightening, government default, or unplanned recourse to the inflation tax.
This book asks the following incisive questions. Does the body of scholarship on the term "human capital" constitute a species of the meaning of the term "slavery," and if so, in what way? How has the so-called capabilities approach to human development affected the scholarship of human development, in the context of curbing the catastrophic excesses of market behaviour? How is it that some humans can be domesticated to create human capital for other groups of humans? To what extent can the international legal instruments effectively fight and combat child labour? How have dynastic China and India developed very long-term systems for the creation and maintenance of national human capital among its peoples? Have the state responses to pandemics been medicalized as a device for human capital maintenance, and if so, in what ways? What is the true meaning of the term "fit and proper" as it is imported into development and dissolution of human capital at the professional or "mandarin" levels of societies? Taking these questions together, the book Human Capital and Development asks this question: have national forms of slavery developed from what is now described as the capabilities approach to human development, with human domestication and child labour forming national systems of human capital formation, maintained by medicalization and controlled by judgments by authorities of fitness and propriety? Chapter One contains a complete scholarly survey of the field of human capital, covering legal, sociological, regulatory, and economic facets of the field. Chapter Two is a detailed critical literature review of the field of human development, linking this still nascent field to that of human capital. Chapter Three follows from Chapter One, elaborating on the new and virtually unspoken field of human domestication, as it serves to create human capital. Chapter Four discusses the international law field of child labour and elaborates on the dual effects on human capital and human development of child labour in its current form. Chapter Five is a comparative analysis of how the two ancient societies of China and India had deployed systems lasting beyond archaeological spans of time to maintain their national human capital, by regulating their supplies of water to their vast populations. Chapter Six in many ways follows on from chapter Three on human domestication, as it discusses critically how the epideictic rhetoric of pandemic contagion and control might marshal human capital in the various strata of society. Chapter Seven is a critical analysis of how human capital is formed by imperial legislation in the upper levels of society''s "mandarins," its professional classes, by implementing around the world a common "fit and proper," or integrity, test. The overall research outcomes suggest that human capital is human differentiation, by the masters onto the servants. Human development is a dynamic conjunction of those capabilities of apparently freely maintaining social networks. Those who had abolished the progymnasmata education system had now reinstated some lower levels of its simpler exercises, ensuring continuing human domestication and maintaining a human capital in explicit knowledge. Thus, child labour remains a national-level program for formation of national employee human capital. In dynastic China, emperors had wholly owned the people''s human capital, and both stabilized and assessed it through local customary registries. In India, sacred rivers were themselves entities containing the culture''s externalized symbology. The International Sanitary Conferences confirmed already-developing European national rules into an international order of human capital medicalization, disguised as human development. The public parties to a "fit and proper" assessment are said to be the court and an ellipsis of members of the public, without the public ever actually participating in the assessment. Thus, human capital in a profession is created in a national professional class purely by the authority of differentiation.