This volume of Advances in Econometrics contains articles that examine key topics in the modeling and estimation of dynamic stochastic general equilibrium (DSGE) models. Because DSGE models combine micro- and macroeconomic theory with formal econometric modeling and inference, over the past decade they have become an established framework for analyzing a variety of issues in empirical macroeconomics. The research articles make contributions in several key areas in DSGE modeling and estimation. In particular, papers cover the modeling and role of expectations, the study of optimal monetary policy in two-country models, and the problem of non-invertibility. Other interesting areas of inquiry include the analysis of parameter identification in new open economy macroeconomic models and the modeling of trend inflation shocks. The second part of the volume is devoted to articles that offer innovations in econometric methodology. These papers advance new techniques for addressing major inferential problems and include discussion and applications of Laplace-type, frequency domain, empirical likelihood and method of moments estimators.

"The last twenty years have witnessed a revolution in macroeconomic modeling. Yet an integrated and accessible treatment of the new methods has been notably lacking. Fabio Canova's book fills that gap magnificently. It is surely destined to be an indispensable reference for both students and researchers for years to come."--Charles Bean, Bank of England

"This book will become an invaluable reference for applied macroeconomists as well as a much-needed teaching tool for graduate macroeconomic courses. Anybody who has an interest in quantitative macroeconomics, either as an academic or as a practitioner, should buy it."--Lucrezia Reichlin, European Central Bank

"Dynamic general equilibrium models have become regular tools for policy analysis in central banks and other policy institutions. This book is a wonderful source for those who want to bring those models to the data. It is thorough and comprehensive, it has a great set of examples and exercises, and, above all, it provides many practical tips. A must-read for any applied macroeconomist."--Frank Smets, European Central Bank

"To be able to describe and interpret business-cycle fluctuations using modern methods developed by researchers is crucial to economists who want to make and evaluate forecasts and policy advice. Fabio Canova has a long experience from research at the frontier, but also from teaching and from applied work at policy institutions such as central banks. His book provides an indispensable toolbox for any researcher that wants to have an influence on practical policy work."--Anders Vredin, Sveriges Riksbank

"The material covered in this book is extensive, and the author always strives to provide an in-depthanalysis and discussion for every topic, complete with the most up-to-date developments in the literature. The combination of DSGE macroeconomics and econometrics makes this book a unique product, likely to become an essential reference for empirical macroeconomists and policymakers."--Marco Del Negro, FRB Atlanta

"This book is unprecedented among econometrics books for the way it incorporates careful and sophisticated macroeconomic theory. It is unprecedented among books on dynamic macroeconomics for its level of practical statistical advice and econometric sophistication. There is simply nothing close to this book available. Many of the best young researchers will want to study and teach from it."--Thomas J. Sargent, New York University

"This book treats econometric, computational, and macroeconomic substantive issues jointly. Nearly all existing books in this area are either strictly econometric, strictly computational, or focus on substance without taking up econometric and computational issues. The need for a treatment like this on the part of applied researchers means there will be wide interest in it."--Christopher Sims, Princeton University