A unified framework for testing in the linear regression model under unknown order of fractional integration

Bent Jesper Christensen, Robinson Kruse and Philipp Sibbertsen

Hannover Economic Papers (HEP) from Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät

Abstract: We consider hypothesis testing in a general linear time series regression framework when the possibly fractional order of integration of the error term is unknown. We show that the approach suggested by Vogelsang (1998a) for the case of integer integration does not apply to the case of fractional integration. We propose a Lagrange Multiplier-type test whose limiting distribution is independent of the order of integration of the errors. Different testing scenarios for the case of deterministic and stochastic regressors are considered. Simulations demonstrate that the proposed test works well for a variety of different cases, thereby emphasizing its generality.

Keywords: Long memory; linear time series regression; Lagrange Multiplier test (search for similar items in EconPapers)
JEL-codes: C12 C22 (search for similar items in EconPapers)
Pages: 33 pages
Date: 2013-10
New Economics Papers: this item is included in nep-ets
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Working Paper: A unified framework for testing in the linear regression model under unknown order of fractional integration (2013)
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