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(Ebook) Multivariate Modelling of Non-Stationary Economic Time Series by John Hunter, Simon P. Burke, Alessandra Canepa (auth.) ISBN 9780230243309, 9781137313034, 0230243304, 113731303X

  • SKU: EBN-5887228
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Instant download (eBook) Multivariate Modelling of Non-Stationary Economic Time Series after payment.
Authors:John Hunter, Simon P. Burke, Alessandra Canepa (auth.)
Pages:508 pages.
Year:2017
Editon:2
Publisher:Palgrave Macmillan UK
Language:english
File Size:5.3 MB
Format:pdf
ISBNS:9780230243309, 9781137313034, 0230243304, 113731303X
Categories: Ebooks

Product desciption

(Ebook) Multivariate Modelling of Non-Stationary Economic Time Series by John Hunter, Simon P. Burke, Alessandra Canepa (auth.) ISBN 9780230243309, 9781137313034, 0230243304, 113731303X

This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models. The authors provide a detailed and extensive study of impulse responses and forecasting in the stationary and non-stationary context, considering small sample correction, volatility and the impact of different orders of integration. Models with expectations are considered along with alternate methods such as Singular Spectrum Analysis (SSA), the Kalman Filter and Structural Time Series, all in relation to cointegration. Using single equations methods to develop topics, and as examples of the notion of cointegration, Burke, Hunter, and Canepa provide direction and guidance to the now vast literature facing students and graduate economists.

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