
Structural Macroeconometrics
Princeton University Press
Published on 1. April 2007
Book
Hardback
352 pages
978-0-691-12648-7 (ISBN)
Article exhausted; check for reprint
Description
Methodologies for analyzing the forces that move and shape national economies have advanced markedly in the last thirty years, enabling economists as never before to unite theoretical and empirical research and align measurement with theory. In "Structural Macroeconometrics", David DeJong and Chetan Dave provide the unified overview and in-depth treatment analysts need to apply these latest theoretical models and empirical techniques. The authors' emphasis throughout is on time series econometrics. DeJong and Dave detail methods available for solving dynamic structural models and casting solutions in the form of statistical models with empirical implications that may be analyzed either analytically or numerically. They present the full range of methodologies for characterizing and evaluating these empirical implications, including calibration exercises, method-of-moment procedures, and likelihood-based procedures, both classical and Bayesian. The book is complete with a rich array of implementation algorithms, sample empirical applications, and supporting computer code.
"Structural Macroeconometrics" is tailored specifically to equip readers with a set of practical tools that can be used to expedite their entry into the field. DeJong and Dave's uniquely accessible, how-to approach makes this 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.
"Structural Macroeconometrics" is tailored specifically to equip readers with a set of practical tools that can be used to expedite their entry into the field. DeJong and Dave's uniquely accessible, how-to approach makes this 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.
Reviews / Votes
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 fulfils this aim admirably and covers standard statistical methods neatly; it is certainly worth the attention of econometricians. -- Times Higher EducationMore details
Language
English
Place of publication
New Jersey
United States
Target group
Professional and scholarly
College/higher education
Product notice
Trade binding
Illustrations
46 line illus.16 tables.
Dimensions
Height: 229 mm
Width: 152 mm
Weight
624 gr
ISBN-13
978-0-691-12648-7 (9780691126487)
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Schweitzer Classification
Other editions
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Book
10/2011
2nd Edition
Princeton University Press
€96.50
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Persons
David N. DeJong is Professor of Economics at the University of Pittsburgh. Chetan Dave is Assistant Professor of Economics at the University of Texas, Dallas.
Content
List of Figures ix List of Tables xi Preface xiii PART I: MODEL AND DATA PREPARATION Chapter 1: Introduction 3 Chapter 2: Approximating and Solving DSGE Models 11 Chapter 3: Removing Trends and Isolating Cycles 31 Chapter 4: Summarizing Time Series Behavior 55 Chapter 5: DSGE Models: Three Examples 87 PART II: EMPIRICAL METHODS Chapter 6: Calibration 119 Chapter 7: Matching Moments 151 Chapter 8: Maximum Likelihood 180 Chapter 9: Bayesian Methods 219 PART III: BEYOND LINEARIZATION Chapter 10: Nonlinear Approximation Methods 267 Chapter 11: Implementing Nonlinear Approximations Empirically 290 Bibliography 315 Index 327