Structural Macroeconometrics provides a thorough overview and in-depth exploration of methodologies, models, and techniques used to analyze forces shaping national economies. In this thoroughly revised second edition, David DeJong and Chetan Dave emphasize time series econometrics and unite theoretical and empirical research, while taking into account important new advances in the field.
The authors detail strategies for solving dynamic structural models and present the full range of methods for characterizing and evaluating empirical implications, including calibration exercises, method-of-moment procedures, and likelihood-based procedures, both classical and Bayesian. The authors look at recent strides that have been made to enhance numerical efficiency, consider the expanded applicability of dynamic factor models, and examine the use of alternative assumptions involving learning and rational inattention on the part of decision makers. The treatment of methodologies for obtaining nonlinear model representations has been expanded, and linear and nonlinear model representations are integrated throughout the text. The book offers a rich array of implementation algorithms, sample empirical applications, and supporting computer code.
Structural Macroeconometrics is the ideal textbook for graduate students seeking an introduction to macroeconomics and econometrics, and for advanced students pursuing applied research in macroeconomics. The book's historical perspective, along with its broad presentation of alternative methodologies, makes it an indispensable resource for academics and professionals.
David N. DeJong is professor of economics and Vice Provost for Academic Planning and Resources Management at the University of Pittsburgh. Chetan Dave is assistant professor of economics at New York University, Abu Dhabi.
Praise for the previous edition: "The central theme of this advanced textbook on macroeconomic time series analysis is that [dynamic stochastic general equilibrium models] 'serve directly as the foundations upon which empirical work may be conducted.' The book fulfills this aim admirably and covers standard statistical methods neatly; it is certainly worth the attention of econometricians."--Times Higher Education
"Structural Macroeconometrics is the ideal textbook for graduate students seeking an introduction to macroeconomics and econometrics, and for advanced students pursuing applied research in macroeconomics. The book's historical perspective, along with its broad presentation of alternative methodologies, makes it an indispensable resource for academics and professionals."--World Book Industry
"Structural Macroeconometrics is one of those essential books that every economist should read. It gives comprehensive yet detailed knowledge of the empirical arsenal now in use in cutting-edge macroeconomics. And its exercises prepare users to employ that arsenal to attack new real-world challenges. This edition expands on recent developments in nonlinear techniques and revamps the exposition on linear tools. The result is a beautiful, lively, and extremely useful work."--Roberto Chang, Rutgers University
"The first edition of this book was a gold mine of tools for formulating and estimating modern dynamic stochastic economic models suitable to macroeconomics, finance, and applied microeconomics. This edition is even better and describes how to use exciting new developments in dynamic estimation."--Thomas J. Sargent, New York University
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