Structural Vector Autoregressive Analysis. Questo articolo non è disponibile.
Lingua: inglese
Editore: Cambridge University Press, GB, 2017
- Rilegato
- Nuovo

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Descrizione dell’articolo da parte del venditore
Structural vector autoregressive (VAR) models are important tools for empirical work in macroeconomics, finance, and related fields. This book not only reviews the many alternative structural VAR approaches discussed in the literature, but also highlights their pros and cons in practice. It provides guidance to empirical researchers as to the most appropriate modeling choices, methods of estimating, and evaluating structural VAR models. The book traces the evolution of the structural VAR methodology and contrasts it with other common methodologies, including dynamic stochastic general equilibrium (DSGE) models. It is intended as a bridge between the often quite technical econometric literature on structural VAR modeling and the needs of empirical researchers. The focus is not on providing the most rigorous theoretical arguments, but on enhancing the reader's understanding of the methods in question and their assumptions. Empirical examples are provided for illustration.
Codice articolo LU-9781107196575
- Titolo
- Structural Vector Autoregressive Analysis
- Autore
- Lutz Kilian, Helmut Lütkepohl
- Editore
- Cambridge University Press, GB
- Anno di pubblicazione
- 2017
- Condizione
- New
- Rilegatura
- Hardback
- Lingua
- inglese
- ISBN 10
- 1107196574
- ISBN 13
- 9781107196575
- Peso dell'articolo
- 1140 grammi
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Informazioni sull’autore
Helmut Lütkepohl has held professorial positions at Universität Hamburg, the Christian-Albrechts-Universität zu Kiel, Germany, the Humboldt-Universität zu Berlin, the European University Institute, Florence, and the Freie Universität Berlin. He has served as Dean of the Graduate Center of the Deutsches Institut für Wirtschaftsforschung, Berlin. He has published professional articles in Econometrica, the Journal of Econometrics, the Journal of Business and Economic Statistics, Econometric Theory, and the Journal of Applied Econometrics. He has also served as associate editor of the Journal of Econometrics, Econometric Theory, Macroeconomic Dynamics, the Journal of Applied Econometrics, and Econometric Reviews. He is the author of New Introduction to Multiple Time Series Analysis (2010).
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