Author
Fabio Canova, the University of Pompeu Fabra
Description
The last twenty years have witnessed tremendous advances in the mathematical, statistical, and computational tools available to applied macroeconomists. This rapidly evolving field has redefined how researchers test models and validate theories. Yet until now there has been no textbook that unites the latest methods and bridges the divide between theoretical and applied work.
Fabio Canova brings together dynamic equilibrium theory, data analysis, and advanced econometric and computational methods to provide the first comprehensive set of techniques for use by academic economists as well as professional macroeconomists in banking and finance, industry, and government. This graduate-level textbook is for readers knowledgeable in modern macroeconomic theory, econometrics, and computational programming using RATS, MATLAB, or Gauss. Inevitably a modern treatment of such a complex topic requires a quantitative perspective, a solid dynamic theory background, and the development of empirical and numerical methods--which is where Canova's book differs from typical graduate textbooks in macroeconomics and econometrics. Rather than list a series of estimators and their properties, Canova starts from a class of DSGE models, finds an approximate linear representation for the decision rules, and describes methods needed to estimate their parameters, examining their fit to the data. The book is complete with numerous examples and exercises.
Today's economic analysts need a strong foundation in both theory and application. Methods for Applied Macroeconomic Research offers the essential tools for the next generation of macroeconomists.
Table of Contents ( Detail )
Chapter 1: Preliminaries
Chapter 2: DSGE Models, Solutions, and Approximations
Chapter 3: Extracting and Measuring Cyclical Information
Chapter 4: VAR Models
Chapter 5: GMM and Simulation Estimators
Chapter 6: Likelihood Methods
Chapter 7: Calibration
Chapter 8: Dynamic Macro Panels
Chapter 9: Introduction to Bayesian Methods
Chapter 10: Bayesian VARs
Chapter 11: Bayesian Time Series and DSGE Models
Appendix A Statistical Distributions
References
Index
