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Time Series Econometrics

Language EnglishEnglish
Book Paperback
Book Time Series Econometrics Klaus Neusser
Libristo code: 19703685
Publishers Springer International Publishing AG, May 2018
This text presents modern developments in time series analysis and focuses on their application to e... Full description
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This text presents modern developments in time series analysis and focuses on their application to economic problems. The book first introduces the fundamental concept of a stationary time series and the basic properties of covariance, investigating the structure and estimation of autoregressive-moving average (ARMA) models and their relations to the covariance structure. The book then moves on to non-stationary time series, highlighting its consequences for modeling and forecasting and presenting standard statistical tests and regressions. Next, the text discusses volatility models and their applications in the analysis of financial market data, focusing on generalized autoregressive conditional heteroskedastic (GARCH) models. The second part of the text devoted to multivariate processes, such as vector autoregressive (VAR) models and structural vector autoregressive (SVAR) models, which have become the main tools in empirical macroeconomics. The text concludes with a discussion of co-integrated models and the Kalman Filter, which is being used with increasing frequency. Mathematically rigorous, yet application-oriented, this self-contained text will help students develop a deeper understanding of theory and better command of the models that are vital to the field. Assuming a basic knowledge of statistics and/or econometrics, this text is best suited for advanced undergraduate and beginning graduate students.

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About the book

Full name Time Series Econometrics
Author Klaus Neusser
Language English
Binding Book - Paperback
Date of issue 2018
Number of pages 409
EAN 9783319813875
ISBN 9783319813875
Libristo code 19703685
Weight 6555
Dimensions 155 x 235 x 24
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