This paper first derives an adaptive estimator when heteroskedasticity is present in the unit-specific error in an error component model and then compares the finite sample performance of the proposed estimator with various other estimators. While the Monte Carlo results show that the proposed estimator performs adequately in terms of relative efficiency, its performance on the basis of empirical size is quite similar to the other estimators considered. The results from using the different estimators in two applications highlight the importance of devising a test in future to distinguish between the source of heteroskedasticity.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by Department of Economics, University of Victoria in its series Econometrics Working Papers with number
9913.
Length: 23 pages Date of creation: 14 Dec 1999 Date of revision: Handle: RePEc:vic:vicewp:9913
Note: ISSN 1485-6441 Contact details of provider: Postal: PO Box 1700, STN CSC, Victoria, BC, Canada, V8W 2Y2 Phone: (250)721-8540 Fax: (250)721-6214 Web page: http://web.uvic.ca/econ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (David Giles).
Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data
This paper has been announced in the following NEP Reports: