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Improved penalization for determining the number of factors in approximate factor models

Alessi, Lucia, Barigozzi, Matteo and Capasso, Marco (2010) Improved penalization for determining the number of factors in approximate factor models. Statistics and Probability Letters, 80 (23-24). pp. 1806-1813. ISSN 0167-7152

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Abstract

The procedure proposed by Bai and Ng (2002) for identifying the number of factors in static factor models is revisited. In order to improve its performance, we introduce a tuning multiplicative constant in the penalty, an idea that was proposed by Hallin and Liška (2007) in the context of dynamic factor models. Simulations show that our method in general delivers more reliable estimates, in particular in the case of large idiosyncratic disturbances. Keywords: Number of factors; Approximate factor models; Information criterion; Model selection

Item Type: Article
Official URL: http://www.elsevier.com/wps/find/journaldescriptio...
Additional Information: © 2010 Elsevier B.V.
Library of Congress subject classification: Q Science > QA Mathematics
Sets: Departments > Statistics
Rights: http://www.lse.ac.uk/library/usingTheLibrary/academicSupport/OA/depositYourResearch.aspx
Date Deposited: 20 Dec 2010 11:33
URL: http://eprints.lse.ac.uk/30981/

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