Question: (OLS versus GLS) Let E[$textbf{y}$|$textbf{X}$] = $textbf{X}beta_0$. If the dependent data are conditionally equicorrelated. Show that if a constant is one of the explanatory variables
(OLS versus GLS) Let E[$\textbf{y}$|$\textbf{X}$] = $\textbf{X}\beta_0$. If
![]()
the dependent data are conditionally equicorrelated. Show that if a constant is one of the explanatory variables then OLS and GLS are identical estimators. (Hint: Use Lemma 19.1.) Extend this equivalence to estimation of the random-effects model (24.9)--(24.11), normalizing $$\alpha_i = 0$$.
Varly | X]=1+
Step by Step Solution
There are 3 Steps involved in it
Get step-by-step solutions from verified subject matter experts
