Ordinary Least Squares Bias and Bias Corrections for iid Samples
AbstractThe 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. 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.
Bibliographic InfoPaper provided by McMaster University in its series Social and Economic Dimensions of an Aging Population Research Papers with number 207.
Length: 49 pages
Date of creation: Jun 2007
Date of revision:
Contact details of provider:
Postal: 1280 Main Street West, Hamilton, Ontario, L8S 4M4
Phone: (905) 525-9140 ext. 22765
Fax: (905) 521-8232
Web page: http://www.mcmaster.ca/economics/
More information through EDIRC
OLS bias; finite sample moments; Nagar approximation; bias correction; pairs bootstrap;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other
- C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-08-27 (All new papers)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral 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.