EconPapers    
Economics at your fingertips  
 

On quasi maximum-likelihood estimation of dynamic panel data models

Robert Phillips

Economics Letters, 2015, vol. 137, issue C, 91-94

Abstract: This note gives a simplification of the parameter identification condition provided in Phillips (2010) for quasi maximum-likelihood estimation of dynamic panel data models. Using this simplification, the note shows that for the first-order autoregressive panel data model the parameters are guaranteed to be identified if the number of observations per cross-sectional unit is large enough. The simplification is also used to provide numerical evidence that “large enough” is small.

Keywords: Fixed effects; QML estimation; Augmented dynamic panel data model (search for similar items in EconPapers)
JEL-codes: C23 (search for similar items in EconPapers)
Date: 2015
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/S0165176515004267
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:137:y:2015:i:c:p:91-94

DOI: 10.1016/j.econlet.2015.10.024

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:137:y:2015:i:c:p:91-94