Cointegration Exogeneity And Policy Analysis


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Introduction to Modern Time Series Analysis


Introduction to Modern Time Series Analysis

Author: Gebhard Kirchgässner

language: en

Publisher: Springer Science & Business Media

Release Date: 2008-08-27


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This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series. It contains the most important approaches to analyze time series which may be stationary or nonstationary.

Cointegration, Causality, and Forecasting


Cointegration, Causality, and Forecasting

Author: Halbert White

language: en

Publisher: Oxford University Press, USA

Release Date: 1999


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The book is a collection of essays in honour of Clive Granger. The chapters are by some of the world'leading econometricians, all of whom have collaborated with or studied with (or both) Clive Granger. Central themes of Grangers work are reflected in the book with attention to tests for unit roots and cointegration, tests of misspecification, forecasting models and forecast evaluation, non-linear and non-parametric econometric techniques, and overall, a careful blend of practical empirical work and strong theory. The book shows the scope of Granger's research and the range of the profession that has been influenced by his work.

Multivariate Modelling of Non-Stationary Economic Time Series


Multivariate Modelling of Non-Stationary Economic Time Series

Author: John Hunter

language: en

Publisher: Springer

Release Date: 2017-05-08


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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.