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~institution:"Department of Economics, McMaster University"
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Nagar approximation
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OLS bias
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and the estimated bias is small and statistically insignificant
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bias correction
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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
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but not always. In simulations
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finite sample moments
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jackknife and pairs bootstrap methods are equal to Op(n-3/2). Sometimes they are effective at lowering bias and MSE
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pairs bootstrap 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
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the bootstrap correction removes more bias than the others
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weighting
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English
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Magee, Lonnie
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Department of Economics, McMaster University
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Quantitative Studies in Economics and Population Research Reports
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Ordinary Least Squares Bias and Bias Corrections for <em>iid</em> Samples
Magee, Lonnie
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Department of Economics, McMaster University
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2007
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