Comparing Fixed Effects and Covariance Structure Estimators
In this paper we compare the traditional econometric fixed effect/first difference estimator with the maximum likelihood estimator implied by covariance structure models for panel data. Our findings are that the maximum likelihood estimator is remarkable robust to mis-specifications, however in general the fixed estimator is preferable in small samples. Furthermore, we argue that we can use the Hausman test as a test of consistency of the maximum likelihood estimator. Finally we show that the covariance structure models is not identified in the case of time-invariant independent variables.
|Date of creation:||Jan 2004|
|Date of revision:|
|Contact details of provider:|| Postal: Øster Farimagsgade 5, Building 26, DK-1353 Copenhagen K., Denmark|
Phone: (45) 35 32 30 74
Fax: +45 35 32 30 00
Web page: http://www.econ.ku.dk/CAM/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:kud:kuieca:2004_02. 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: (Thomas Hoffmann)
If references are entirely missing, you can add them using this form.