Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Estimating the number of common factors in serially dependent approximate factor models

Authors
Greenaway-McGrevy, RyanHan, ChirokSul, Donggyu
Issue Date
9월-2012
Publisher
ELSEVIER SCIENCE SA
Keywords
Factor model; Prewhitening; Least squares dummy variable (LSDV) filter; Factor number estimation; Cross-section dependence
Citation
ECONOMICS LETTERS, v.116, no.3, pp.531 - 534
Indexed
SSCI
SCOPUS
Journal Title
ECONOMICS LETTERS
Volume
116
Number
3
Start Page
531
End Page
534
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/107536
DOI
10.1016/j.econlet.2012.03.031
ISSN
0165-1765
Abstract
A simple data-dependent filtering method is proposed before applying the Bai-Ng method to estimate the number of common factors in the conventional approximate factor model. The asymptotic justification is provided and the finite-sample performance is examined. Published by Elsevier B.V.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Political Science & Economics > Department of Economics > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher HAN, CHI ROK photo

HAN, CHI ROK
정경대학 (경제학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE