Ordinary Least Squares Bias and Bias Corrections for iid Samples
The O(n-1) bias and O(n-2) MSE of OLS are derived for iid samples. An approach is suggested for handling nonexistent finite sample moments. Bias corrections based on plug-in, weighting, jackknife and pairs bootstrap methods are equal to Op(n-3/2). Sometimes they are effective at lowering bias and MSE, but not always. In simulations, the bootstrap correction removes more bias than the others, but has a higher MSE. A hypothesis test is given for the presence of this bias. The techniques are applied to survey data on food expenditure, and the estimated bias is small and statistically insignificant.
(This abstract was borrowed from another version of this item.)
|Date of creation:||Jun 2007|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: (905) 525-9140 ext. 22765
Fax: (905) 521-8232
Web page: http://www.mcmaster.ca/economics/Email:
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:mcm:qseprr:419. 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: ()
If references are entirely missing, you can add them using this form.