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
Full text not available from this repository.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. |
| Divisions: | Statistics |
| Subjects: | Q Science > QA Mathematics |
| Date Deposited: | 20 Dec 2010 11:33 |
| Last Modified: | 11 Dec 2024 23:43 |
| URI: | http://eprints.lse.ac.uk/id/eprint/30981 |
Actions (login required)
 |
View Item |
