Test for the null hypothesis of cointegration with reduced size distortion

Eiji Kurozumi, Yoichi Arai

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

This article considers a single-equation cointegrating model and proposes the locally best invariant and unbiased (LBIU) test for the null hypothesis of cointegration. We derive the local asymptotic power functions and compare them with the standard residual-based test, and show that the LBIU test is more powerful in a wide range of local alternatives. Then, we conduct a Monte Carlo simulation to investigate the finite sample properties of the tests and show that the LBIU test outperforms the residual-based test in terms of both size and power. The advantage of the LBIU test is particularly patent when the error is highly autocorrelated. Furthermore, we point out that finite sample performance of existing tests is largely affected by the initial value condition while our tests are immune to it. We propose a simple transformation of data that resolves the problem in the existing tests.

Original languageEnglish
Pages (from-to)476-500
Number of pages25
JournalJournal of Time Series Analysis
Volume29
Issue number3
DOIs
Publication statusPublished - 2008 May
Externally publishedYes

Keywords

  • Cointegration
  • Locally best test
  • Point optimal test

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

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