Multivariate Modelling of Non-Stationary Economic Time Series

Multivariate Modelling of Non-Stationary Economic Time Series
ISBN-10
113731303X
ISBN-13
9781137313034
Category
Business & Economics
Pages
502
Language
English
Published
2017-05-08
Publisher
Springer
Authors
John Hunter, Simon P. Burke, Alessandra Canepa

Description

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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