Narrow your search

Library

KBC (2)

KU Leuven (2)

Odisee (2)

Thomas More Kempen (2)

Thomas More Mechelen (2)

UCLL (2)

ULB (2)

ULiège (2)

VIVES (2)

UGent (1)


Resource type

book (2)


Language

English (2)


Year
From To Submit

2021 (1)

2017 (1)

Listing 1 - 2 of 2
Sort by

Book
Multivariate Modelling of Non-Stationary Economic Time Series
Authors: --- ---
ISBN: 113731303X 0230243304 Year: 2017 Publisher: London : Palgrave Macmillan UK : Imprint: Palgrave Macmillan,

Loading...
Export citation

Choose an application

Bookmark

Abstract

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.

Listing 1 - 2 of 2
Sort by