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A crucial challenge for economists is figuring out how people interpret the world and form expectations that will likely influence their economic activity. Inflation, asset prices, exchange rates, investment, and consumption are just some of the economic variables that are largely explained by expectations. Here George Evans and Seppo Honkapohja bring new explanatory power to a variety of expectation formation models by focusing on the learning factor. Whereas the rational expectations paradigm offers the prevailing method to determining expectations, it assumes very theoretical knowledge on the part of economic actors. Evans and Honkapohja contribute to a growing body of research positing that households and firms learn by making forecasts using observed data, updating their forecast rules over time in response to errors. This book is the first systematic development of the new statistical learning approach. Depending on the particular economic structure, the economy may converge to a standard rational-expectations or a "rational bubble" solution, or exhibit persistent learning dynamics. The learning approach also provides tools to assess the importance of new models with expectational indeterminacy, in which expectations are an independent cause of macroeconomic fluctuations. Moreover, learning dynamics provide a theory for the evolution of expectations and selection between alternative equilibria, with implications for business cycles, asset price volatility, and policy. This book provides an authoritative treatment of this emerging field, developing the analytical techniques in detail and using them to synthesize and extend existing research.
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.
Understanding the sources of inflation persistence is crucial for monetary policy. This paper provides an empirical assessment of the influence of inflation expectations' anchoring on the persistence of inflation. We construct a novel index of inflation expectations' anchoring using survey-based inflation forecasts for 45 economies starting in 1989. We then study the response of consumer prices to terms-of-trade shocks for countries with flexible exchange rates. We find that these shocks have a significant and persistent effect on consumer price inflation when expectations are poorly anchored. By contrast, inflation reacts by less and returns quickly to its pre-shock level when expectations are strongly anchored.
Over the past fifteen years, a significant number of industrialized and middle-income countries have adopted inflation targeting as a framework for monetary policymaking. As the name suggests, in such inflation-targeting regimes, the central bank is responsible for achieving a publicly announced target for the inflation rate. While the objective of controlling inflation enjoys wide support among both academic experts and policymakers, and while the countries that have followed this model have generally experienced good macroeconomic outcomes, many important questions about inflation targeting remain. In Inflation Targeting, a distinguished group of contributors explores the many underexamined dimensions of inflation targeting—its potential, its successes, and its limitations—from both a theoretical and an empirical standpoint, and for both developed and emerging economies. The volume opens with a discussion of the optimal formulation of inflation-targeting policy and continues with a debate about the desirability of such a model for the United States. The concluding chapters discuss the special problems of inflation targeting in emerging markets, including the Czech Republic, Poland, and Hungary.
A new approach for introducing unemployment into the New Keynesian framework. The past fifteen years have witnessed the rise of the New Keynesian model as a framework of reference for the analysis of fluctuations and stabilization policies. That framework, which combines the rigor and internal consistency of dynamic general equilibrium models with such typically Keynesian assumptions as monopolistic competition and nominal rigidities, makes possible a meaningful, welfare-based analysis of the effects of monetary policy rules. But the conspicuous absence of unemployment from the standard New Keynesian model has given rise to both criticism and attempts to rectify this anomaly. In this book, Jordi Galí, one of the major contributors to the New Keynesian literature, offers a new approach to introducing unemployment into that framework. Galí's approach involves a reinterpretation of the labor market in the standard New Keynesian model with staggered wage setting (rather than a modification or extension of the model, as has been proposed by others). The resulting framework preserves the convenience of the representative household paradigm and allows one to determine the equilibrium levels of employment, the labor force, and hence the unemployment rate conditional on the monetary policy in place. Galí develops the basic model, embedding it in a standard New Keynesian framework with staggered price and wage setting; revisits the relationship between economic fluctuations and efficiency through the lens of the new model, developing a measure of the output gap; and analyzes the relation between unemployment and the design of monetary policy.
Richard Curtin has directed the University of Michigan's consumer sentiment surveys for more than four decades. His analyses of recent trends in consumer expectations are regularly covered in the worldwide press. In this book, Curtin presents a new theory of expectations. Whereas conventional theories presume that consumers play a passive role in the macro economy, simply reacting to current trends in incomes, prices, and interest rates, Curtin proposes a new empirically consistent theory. He argues that expectations are formed by an automatic process that utilizes conscious and nonconscious processes, passion and reason, information from public and private sources, and social networks. Consumers ultimately reach a decision that serves both the micro decision needs of individuals and reflects the common influence of the macro environment. Drawing on empirical observations, Curtin not only demonstrates the importance of consumer sentiment, but also how it can foreshadow the cyclical turning points in the economy.
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.
Assumptions about how people form expectations for the future shape the properties of any dynamic economic model. To make economic decisions in an uncertain environment people must forecast such variables as future rates of inflation, tax rates, governme.
Handbook of Economic Expectations discusses the state-of-the-art in the collection, study and use of expectations data in economics, including the modelling of expectations formation and updating, as well as open questions and directions for future research. The book spans a broad range of fields, approaches and applications using data on subjective expectations that allows us to make progress on fundamental questions around the formation and updating of expectations by economic agents and their information sets. The information included will help us study heterogeneity and potential biases in expectations and analyze impacts on behavior and decision-making under uncertainty. - Combines information about the creation of economic expectations and their theories, applications and likely futures - Provides a comprehensive summary of economics expectations literature - Explores empirical and theoretical dimensions of expectations and their relevance to a wide array of subfields in economics
Dynamic stochastic general equilibrium (DSGE) models have become one of the workhorses of modern macroeconomics and are extensively used for academic research as well as forecasting and policy analysis at central banks. This book introduces readers to state-of-the-art computational techniques used in the Bayesian analysis of DSGE models. The book covers Markov chain Monte Carlo techniques for linearized DSGE models, novel sequential Monte Carlo methods that can be used for parameter inference, and the estimation of nonlinear DSGE models based on particle filter approximations of the likelihood function. The theoretical foundations of the algorithms are discussed in depth, and detailed empirical applications and numerical illustrations are provided. The book also gives invaluable advice on how to tailor these algorithms to specific applications and assess the accuracy and reliability of the computations. Bayesian Estimation of DSGE Models is essential reading for graduate students, academic researchers, and practitioners at policy institutions.