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Multivariate Modelling of Non-Stationary Economic Time Series (Palgrave Texts in Econometrics) by Hunter, John, author; Burke, Simon P., author; Canepa, Alessandra, author is a nonfiction available to read on EtoBox.

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1 online resource (XIII, 502 pages) : 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 Chapter 1. Introduction: Time Series, Common Trends and Equilibrium -- Chapter 2. Multivariate Time Series -- Chapter 3. Cointegration -- Chapter 4. Testing for Cointegration: Under Standard and Non-Standard Conditions -- Chapter 5. Structure and Evaluation -- Chapter 6. Testing in VECMs with Small Sample -- Chapter 7. Heteroscedasticity and Multivariate Vola

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Author

Hunter, John, author; Burke, Simon P., author; Canepa, Alessandra, author

Publisher

London: Palgrave Macmillan UK: Imprint: Palgrave Macmillan

Published

2017

Language

EN

ISBN

9780230243309

Category

nonfiction

Subjects

Economics, Business