The variance of the OLS estimator
Summary
- Setup:
- a linear regression model \(y=Xβ+ε\) with a random sample
- the Gauss-Markov assumptions, \(E\left( ε \right|X)=0\) and \(Var\left( ε \right|X)=σ^2I\)
- \(b={\left( X'X \right)}^{-1}X'y\) is the OLS estimator of \(β\)
- Result:
\[Var\left( b \right|X)=σ^2{\left( X'X \right)}^{-1}\]