We undertake a quantitative analysis of the dispersion of current accounts in an open economy version of incomplete insurance model, incorporating important market frictions in trade and financial flows. Calibrated with conventional parameter values, the stochastic stationary equilibrium of the model with limited borrowing can account for about two-thirds of the global dispersion of current accounts. The easing of financial frictions can explain nearly all changes in the current account dispersion in the past four decades whereas the easing of trade frictions has almost no impact on the current account dispersion.

This book retraces the history of macroeconomics from Keynes's General Theory to the present. Central to it is the contrast between a Keynesian era and a Lucasian - or dynamic stochastic general equilibrium (DSGE) - era, each ruled by distinct methodological standards. In the Keynesian era, the book studies the following theories: Keynesian macroeconomics, monetarism, disequilibrium macro (Patinkin, Leijongufvud, and Clower) non-Walrasian equilibrium models, and first-generation new Keynesian models. Three stages are identified in the DSGE era: new classical macro (Lucas), RBC modelling, and second-generation new Keynesian modeling. The book also examines a few selected works aimed at presenting alternatives to Lucasian macro. While not eschewing analytical content, Michel De Vroey focuses on substantive assessments, and the models studied are presented in a pedagogical and vivid yet critical way.

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.

The NBER Macroeconomics Annual presents pioneering work in macroeconomics by leading academic researchers to an audience of public policymakers and the academic community. Each commissioned paper is followed by comments and discussion. This year's edition provides a mix of cutting-edge research and policy analysis on such topics as productivity and information technology, the increase in wealth inequality, behavioral economics, and inflation.

Current perspectives on the Phillips curve, a core macroeconomic concept that treats the relationship between inflation and unemployment. In 1958, economist A. W. Phillips published an article describing what he observed to be the inverse relationship between inflation and unemployment; subsequently, the “Phillips curve” became a central concept in macroeconomic analysis and policymaking. But today's Phillips curve is not the same as the original one from fifty years ago; the economy, our understanding of price setting behavior, the determinants of inflation, and the role of monetary policy have evolved significantly since then. In this book, some of the top economists working today reexamine the theoretical and empirical validity of the Phillips curve in its more recent specifications. The contributors consider such questions as what economists have learned about price and wage setting and inflation expectations that would improve the way we use and formulate the Phillips curve, what the Phillips curve approach can teach us about inflation dynamics, and how these lessons can be applied to improving the conduct of monetary policy. Contributors Lawrence Ball, Ben Bernanke, Oliver Blanchard, V. V. Chari, William T. Dickens, Stanley Fischer, Jeff Fuhrer, Jordi Gali, Michael T. Kiley, Robert G. King, Donald L. Kohn, Yolanda K. Kodrzycki, Jane Sneddon Little, Bartisz Mackowiak, N. Gregory Mankiw, Virgiliu Midrigan, Giovanni P. Olivei, Athanasios Orphanides, Adrian R. Pagan, Christopher A. Pissarides, Lucrezia Reichlin, Paul A. Samuelson, Christopher A. Sims, Frank R. Smets, Robert M. Solow, Jürgen Stark, James H. Stock, Lars E. O. Svensson, John B. Taylor, Mark W. Watson

This substantial volume has two principal objectives. First it provides an overview of the statistical foundations of Simulation-based inference. This includes the summary and synthesis of the many concepts and results extant in the theoretical literature, the different classes of problems and estimators, the asymptotic properties of these estimators, as well as descriptions of the different simulators in use. Second, the volume provides empirical and operational examples of SBI methods. Often what is missing, even in existing applied papers, are operational issues. Which simulator works best for which problem and why? This volume will explicitly address the important numerical and computational issues in SBI which are not covered comprehensively in the existing literature. Examples of such issues are: comparisons with existing tractable methods, number of replications needed for robust results, choice of instruments, simulation noise and bias as well as efficiency loss in practice.

Analyzes informality in Latin America, exploring root causes and reasons for and implications of its growth. This book uses two distinct but complementary lenses. It concludes that reducing informality levels and overcoming the "culture of informality" will require actions to increase aggregate productivity in the economy.