EconPapers    
Economics at your fingertips  
 

Robust determination for the number of common factors in the approximate factor models

Jianhong Wu

Economics Letters, 2016, vol. 144, issue C, 102-106

Abstract: This paper proposes a robust determination method for the number of common factors in the approximate factor models. The new method is based on the ratio values of some transformation function of adjacent eigenvalues arranged in descending order. Under some mild conditions, the resulted estimator can be proved to be consistent. It can be further shown that, comparing with the competitors in the existing literature, the new method has desired performance on truly selecting the value of the number of latent common factors whether there are dominant factors or not. Monte Carlo simulation is carried out for illustration.

Keywords: Approximate factor model; Determining the number of factors; Dominant factor; Eigenvalues; Transformation function (search for similar items in EconPapers)
JEL-codes: C1 C13 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176516301367
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:144:y:2016:i:c:p:102-106

DOI: 10.1016/j.econlet.2016.04.026

Access Statistics for this article

Economics Letters is currently edited by Economics Letters Editorial Office

More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ecolet:v:144:y:2016:i:c:p:102-106