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

Citations

WEB OF SCIENCE

11
Citations

SCOPUS

13

초록

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.

키워드

Factor model; Prewhitening; Least squares dummy variable (LSDV) filter; Factor number estimation; Cross-section dependence
제목
Estimating the number of common factors in serially dependent approximate factor models
저자
Greenaway-McGrevy, Ryan; Han, Chirok; Sul, Donggyu
DOI
10.1016/j.econlet.2012.03.031
발행일
2012-09
유형
Article
저널명
Economics Letters
권
116
호
3
페이지
531 ~ 534