No-Cointegration Test Based on Fractional Differencing: Some Monte Carlo Results

Publication Type

Journal Article

Publication Date

1999

Abstract

This paper examines the use of the t-statistic in the Geweke-Porter-Hudak regression for the estimation of the fractional differencing parameter as a test for cointegration. The critical values of the test statistic are estimated using Monte Carlo methods. The results confirm that the test will over-reject the null hypothesis of no cointegration if the standard-normal critical values are used. The estimated critical values are generally robust to the nuisance parameters in the autoregressive or moving average specification of the error process of the component time series. Exceptions occur when the dependent variable in the cointegration regression follows an autoregressive process with a large positive parameter or a moving average process with a large negative parameter.

Discipline

Economics

Research Areas

Econometrics

Publication

Journal of Statistical Planning and Inference

Volume

80

Issue

1-2

First Page

257

Last Page

267

ISSN

0378-3758

Identifier

10.1016/s0378-3758(98)00253-5

Publisher

Elsevier

Additional URL

https://doi.org/10.1016/s0378-3758(98)00253-5

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