The NBER Macroeconomics Annual provides a forum for important debates in contemporary macroeconomics and major developments in the theory of macroeconomic analysis and policy that include leading economists from a variety of fields. The papers and accompanying discussions in NBER Macroeconomics Annual 2009 address how heterogeneous beliefs interact with equilibrium leverage and potentially lead to leverage cycles, the validity of alternative hypotheses about the reason for the recent increase in foreclosures on residential mortgages, the credit rating crisis, quantitative implications for the evolution of the U.S. wage distribution, and noisy business cycles.
This year, the NBER Macroeconomics Annual celebrates its thirtieth volume. The first two papers examine China’s macroeconomic development. “Trends and Cycles in China's Macroeconomy” by Chun Chang, Kaiji Chen, Daniel F. Waggoner, and Tao Zha outlines the key characteristics of growth and business cycles in China. “Demystifying the Chinese Housing Boom” by Hanming Fang, Quanlin Gu, Wei Xiong, and Li-An Zhou constructs a new house price index, showing that Chinese house prices have grown by ten percent per year over the past decade. The third paper, “External and Public Debt Crises” by Cristina Arellano, Andrew Atkeson, and Mark Wright, asks why there appear to be large differences across countries and subnational jurisdictions in the effect of rising public debts on economic outcomes. The fourth, “Networks and the Macroeconomy: An Empirical Exploration” by Daron Acemoglu, Ufuk Akcigit, and William Kerr, explains how the network structure of the US economy propagates the effect of gross output productivity shocks across upstream and downstream sectors. The fifth and sixth papers investigate the usefulness of surveys of household’s beliefs for understanding economic phenomena. “Expectations and Investment,” by Nicola Gennaioli, Yueran Ma, and Andrei Shleifer, demonstrates that a chief financial officer's expectations of a firm's future earnings growth is related to both the planned and actual future investment of that firm. “Declining Desire to Work and Downward Trends in Unemployment and Participation” by Regis Barnichon and Andrew Figura shows that an increasing number of prime-age Americans who are not in the labor force report no desire to work and that this decline accelerated during the second half of the 1990s.
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.
Developed fifty years ago by the National Bureau of Economic Research, the analytic methods of business cycles and economic indicators enable economists to forecast economic trends by examining the repetitive sequences that occur in business cycles. The methodology has proven to be an inexpensive and useful tool that is now used extensively throughout the world. In recent years, however, significant new developments have emerged in the field of business cycles and economic indicators. This volume contains twenty-two articles by international experts who are working with new and innovative approaches to indicator research. They cover advances in three broad areas of research: the use of new developments in economic theory and time-series analysis to rationalise existing systems of indicators; more appropriate methods to evaluate the forecasting records of leading indicators, particularly of turning point probability; and the development of new indicators.
This is the fourth in a series of annuals from the National Bureau of Economic Research that are designed to stimulate research on problems in applied economics, to bring frontier theoretical developments to a wider audience, and to accelerate the interaction between analytical and empirical research in macroeconomics. Contents: The Monetary History After Twenty-Five Years: New Evidence on the Money-Output Relationship, Christina Romer and David Romer Restrictions on Financial Intermediaries and Implecations for Aggregate Fluctuations: Canada and the U.S., 1870-1908, Stephen Williamson The Thatcher "Miracle", Charles Bean with Jim Symons The Revised NBER Indexes of Coincident and Leading Economic Indicators, James Stock and Mark Watson Consumption, Income, and Interest Rates: The Euler Equation Approach Ten Years Later, John Campbell and N. Gregory Mankiw U.S. Earnings and Income Inequality: Recent Trends, Frank Levy Business Cycle Models with Increasing Returns, Kevin Murphy, Andrei Shleifer, and Robert Vishny
Economic Policy and the Great Stagflation discusses the national economic policy and economics as a policy-oriented science. This book summarizes what economists do and do not know about the inflation and recession that affected the U.S. economy during the years of the Great Stagflation in the mid-1970s. The topics discussed include the basic concepts of stagflation, turbulent economic history of 1971-1976, anatomy of the great recession and inflation, and legacy of the Great Stagflation. The relation of wage-price controls, fiscal policy, and monetary policy to the Great Stagflation is also elaborated. This publication is beneficial to economists and students researching on the history of the Great Stagflation and policy errors of the 1970s.
Optimal tax design attempts to resolve a well-known trade-off: namely, that high taxes are bad insofar as they discourage people from working, but good to the degree that, by redistributing wealth, they help insure people against productivity shocks. Until recently, however, economic research on this question either ignored people's uncertainty about their future productivities or imposed strong and unrealistic functional form restrictions on taxes. In response to these problems, the new dynamic public finance was developed to study the design of optimal taxes given only minimal restrictions on the set of possible tax instruments, and on the nature of shocks affecting people in the economy. In this book, Narayana Kocherlakota surveys and discusses this exciting new approach to public finance. An important book for advanced PhD courses in public finance and macroeconomics, The New Dynamic Public Finance provides a formal connection between the problem of dynamic optimal taxation and dynamic principal-agent contracting theory. This connection means that the properties of solutions to principal-agent problems can be used to determine the properties of optimal tax systems. The book shows that such optimal tax systems necessarily involve asset income taxes, which may depend in sophisticated ways on current and past labor incomes. It also addresses the implications of this new approach for qualitative properties of optimal monetary policy, optimal government debt policy, and optimal bequest taxes. In addition, the book describes computational methods for approximate calculation of optimal taxes, and discusses possible paths for future research.
Traditionally, economic growth and business cycles have been treated independently. However, the dependence of GDP levels on its history of shocks, what economists refer to as “hysteresis,” argues for unifying the analysis of growth and cycles. In this paper, we review the recent empirical and theoretical literature that motivate this paradigm shift. The renewed interest in hysteresis has been sparked by the persistence of the Global Financial Crisis and fears of a slow recovery from the Covid-19 crisis. The findings of the recent literature have far-reaching conceptual and policy implications. In recessions, monetary and fiscal policies need to be more active to avoid the permanent scars of a downturn. And in good times, running a high-pressure economy could have permanent positive effects.
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.
