In (4-13), we find that when superfluous variables X 2 are added to the regression of y
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In (4-13), we find that when superfluous variables X2 are added to the regression of y on X1 the least squares coefficient estimator is an unbiased estimator of the true parameter vector, β = (β'1, 0')'. Show that in this long regression, e'e/(n−K1−K2) is also unbiased as estimator of σ2.
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