Reducing Bias of MLE in a Dynamic Panel Model
This paper investigates a simple dynamic linear panel regression model with both fixed effects and time effects. Using "large n and large T " asymptotics, we approximate the distribution of the fixed effect estimator of the autoregressive parameter in the dynamic linear panel model and derive its asymptotic bias. We find that the same higher order bias correction approach proposed by Hahn and Kuersteiner (2002) can be applied to the dynamic linear panel model even when time specifc effects are present.
|Date of creation:||Dec 2004|
|Date of revision:|
|Contact details of provider:|| Phone: (213) 740-3521|
Fax: (213) 740-3522
Web page: http://www.usc.edu/dept/LAS/economics/IEPR/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:scp:wpaper:04-5. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Farideh Motamedi)
If references are entirely missing, you can add them using this form.