
This valuable text provides a comprehensive introduction to VAR modelling and how it can be applied. In particular, the author focuses on the properties of the Cointegrated VAR model and its implications for macroeconomic inference when data are non-stationary. The text provides a number of insights into the links between statistical econometric modelling and economic theory and gives a thorough treatment of identification of the long-run and short-run structure as well as of the common stochastic trends and the impulse response functions, providing in each case illustrations of applicability. This book presents the main ingredients of the Copenhagen School of Time-Series Econometrics in a transparent and coherent framework. The distinguishing feature of this school is that econometric theory and applications have been developed in close cooperation. The guiding principle is that good econometric work should take econometrics, institutions, and economics seriously. The author uses a single data set throughout most of the book to guide the reader through the econometric theory while also revealing the full implications for the underlying economic model. To test ensure full understanding the book concludes with the introduction of two new data sets to combine readers understanding of econometric theory and economic models, with economic reality.
This text investigates the methodological framework and practical application of the Cointegrated Vector Autoregressive (VAR) model within the context of macroeconomic inference. Katarina Juselius, a prominent figure in the Copenhagen School of Time-Series Econometrics, synthesizes years of research to bridge the gap between abstract statistical theory and empirical economic analysis. The book argues that rigorous econometric modeling must integrate institutional knowledge and economic theory to effectively address non-stationary data.
What You Will Find
Scope Limits
Experts and academics frequently cite this work as a foundational text for understanding the Copenhagen School approach to time-series econometrics. Readers often note the high level of technical density, making it a standard reference for graduate students and researchers specializing in macroeconomic modeling.
Page Count:
473
Publication Date:
2006-01-01
Publisher:
OUP Oxford
ISBN-10:
0191622966
ISBN-13:
9780191622960
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