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

C-Tier
Journal: Economics Letters
Year: 2012
Volume: 116
Issue: 3
Pages: 531-534

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:eee:ecolet:v:116:y:2012:i:3:p:531-534
Journal Field
General
Author Count
3
Added to Database
2026-01-25