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

The last time global sovereign debt reached the level seen today was at the end of the Second World War, and this shaped a generation of economic policymaking. International institutions were transformed, country policies were often draconian and distortive, and many crises ensued. By the early 1970s, when debt fell back to pre-war levels, the world was radically different. It is likely that changes of a similar magnitude -for better and for worse - will play out over coming decades. Sovereign Debt: A Guide for Economists and Practitioners is an attempt to build some structure around the issues of sovereign debt to help guide economists, practitioners and policymakers through this complicated, but not intractable, subject. Sovereign Debt brings together some of the world's leading researchers and specialists in sovereign debt to cover a range of sub-disciplines within this vast topic. It explores debt management with debt sustainability; debt reduction policies with crisis prevention policies; and the history with the conjuncture. It is a foundation text for all those interested in sovereign debt, with a particular focus real world examples and issues.

A calculation of the social returns to innovation /Benjamin F. Jones and Lawrence H. Summers --Innovation and human capital policy /John Van Reenen --Immigration policy levers for US innovation and start-ups /Sari Pekkala Kerr and William R. Kerr --Scientific grant funding /Pierre Azoulay and Danielle Li --Tax policy for innovation /Bronwyn H. Hall --Taxation and innovation: what do we know? /Ufuk Akcigit and Stefanie Stantcheva --Government incentives for entrepreneurship /Josh Lerner.

Collects the transcripts of a series of lectures given by Federal Reserve Chairman Ben Bernanke about the 2008 financial crisis as part of a course at George Washington University on the role of the Federal Reserve in the economy.

The first twenty years of the European Central Bank offer a unique insight into how a central bank can navigate macroeconomic insecurity and crisis. This volume examines the structures and decision-making processes behind the complex measures taken by the ECB to tackle some of the toughest economic challenges in the history of modern Europe.

This timely volume presents the latest thinking on the monetary policy rules and seeks to determine just what types of rules and policy guidelines function best. A unique cooperative research effort that allowed contributors to evaluate different policy rules using their own specific approaches, this collection presents their striking findings on the potential response of interest rates to an array of variables, including alterations in the rates of inflation, unemployment, and exchange. Monetary Policy Rules illustrates that simple policy rules are more robust and more efficient than complex rules with multiple variables. A state-of-the-art appraisal of the fundamental issues facing the Federal Reserve Board and other central banks, Monetary Policy Rules is essential reading for economic analysts and policymakers alike.

Inflation is regarded by the many as a menace that damages business and can only make life worse for households. Keeping it low depends critically on ensuring that firms and workers expect it to be low. So expectations of inflation are a key influence on national economic welfare. This collection pulls together a galaxy of world experts (including Roy Batchelor, Richard Curtin and Staffan Linden) on inflation expectations to debate different aspects of the issues involved. The main focus of the volume is on likely inflation developments. A number of factors have led practitioners and academic observers of monetary policy to place increasing emphasis recently on inflation expectations. One is the spread of inflation targeting, invented in New Zealand over 15 years ago, but now encompassing many important economies including Brazil, Canada, Israel and Great Britain. Even more significantly, the European Central Bank, the Bank of Japan and the United States Federal Bank are the leading members of another group of monetary institutions all considering or implementing moves in the same direction. A second is the large reduction in actual inflation that has been observed in most countries over the past decade or so. These considerations underscore the critical – and largely underrecognized - importance of inflation expectations. They emphasize the importance of the issues, and the great need for a volume that offers a clear, systematic treatment of them. This book, under the steely editorship of Peter Sinclair, should prove very important for policy makers and monetary economists alike.

Recounts the events of the Bretton Woods accords, presents portaits of the two men at the center of the drama, and reveals Harry White's admiration for Soviet economic planning and communications with intelligence officers.

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.