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Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data$
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Anindya Banerjee, Juan J. Dolado, John W. Galbraith, and David Hendry

Print publication date: 1993

Print ISBN-13: 9780198288107

Published to Oxford Scholarship Online: November 2003

DOI: 10.1093/0198288107.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2022. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use.date: 01 July 2022

Introduction and Overview

Introduction and Overview

Chapter:
(p.1) 1 Introduction and Overview
Source:
Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data
Author(s):

Anindya Banerjee (Contributor Webpage)

Juan J. Dolado

John W. Galbraith (Contributor Webpage)

David F. Hendry (Contributor Webpage)

Publisher:
Oxford University Press
DOI:10.1093/0198288107.003.0001

Serves as an introductory overview for the rest of the book, and outlines its main aims. As a basis for the following chapters, an overview and clarification of equilibrium relationships in economic theory is presented. A preliminary discussion of testing for orders of integration and the estimation of long‐run relationships is provided. The chapter summarizes key concepts from time‐series analysis and the theory of stochastic processes and, in particular, the theory of Brownian motion processes. Several empirical examples are offered as illustration of these concepts.

Keywords:   ARMA processes, Brownian motion, equilibrium relationships, exogeneity, long‐run relationships, orders of integration, stochastic processes, time‐series analysis, Wiener processes Monte Carlo simulation

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