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Cited by 1,307

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Estimation of Common Long-Memory Components in Cointegrated Systems

Gonzalo, Jesus, Granger, Clive·1995·Journal of Business & Economic Statistics

Abstract

The study of cointegration in large systems requires a reduction of their dimensionality. To achieve this, we propose to obtain the I(1) common factors in every subsystem and then analyze cointegration among them. In this article, a new way of estimating common long-memory components of a cointegrated system is proposed. The identification of these I(1) common factors is achieved by imposing that they be linear combinations of the original variables Xt , and that the error-correction terms do not cause the common factors at low frequencies. Estimation is done from a fully specified error-correction model, which makes it possible to test hypotheses on the common factors using standard chi-squared tests. Several empirical examples illustrate the procedure.

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Metadata

Authors
Gonzalo, J., & Granger, C.
Venue
Journal of Business & Economic Statistics
Published
1995-01
Volume
13
Issue
1
Pages
27-35
ISSN
  • 0735-0015 (ISSN-L)
  • 1537-2707
OpenAlex
W2016087196
Cited by
1,307
References
23
FWCI
50.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Estimation of Common Long-Memory Components in Cointegrated Systems. https://app.cochat.ai/papers/10.1080/07350015.1995.10524576
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Gonzalo, J., & Granger, C. (1995). Estimation of Common Long-Memory Components in Cointegrated Systems. Journal of Business & Economic Statistics. https://doi.org/10.1080/07350015.1995.10524576

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