Hi-Stat img
□ JAPANESE
□ HOME
. Project outline
Organization

Basic Concept

Staff

. Research
Discussion Papers
Database
. Announcements
Workshops
Lecture series
Newsletter
. Links
Hitotsubashi University

Hitotsubashi University Library

Institute of Economic Research

Research Centre for Information and Statistics of Social Science

ASHSTAT Project

Global Economic History Network

Tests for Long-Run Granger Non-Causality in Cointegrated Systems


Taku Yamamoto & Eiji Kurozumi


December 2003


Previous paper Next paper
Abstract
In this paper, we propose a new approach to test the hypothesis of long-run Granger non-causality in cointegrated systems. We circumvent the problem of singularity of the variance-covariance matrix associated with the usual Wald type test by proposing a generalized inverse procedure, and an alternative simple procedure which can be approximated by a suitable chi-square distribution. A test for the ranks of submatrices of the cointegration matrix and its orthogonal matrix plays a vital role in the former. The relevant small sample experiments indicate that the proposed method performs reasonably well in finite samples. As empirical applications, we examine long-run causal relations among long-term interest rates of three and five nations.
Download (208KB)
Copyright (C) 2003 by Institute of Economic Research.All rights reserved.