Topic 6: Gauss Markov Theorem Flashcards
What is the Gauss Markov Theorum?
States that of all the linear, unbias estimators, the OLS estimator is the one with the lowest variance.
How does the Gauss Markov proof deal with other estimators.
Deals only with linear estimators. Considers them as the OLS estimator plus some other component.
What is the expectation of the estimator:
If it is unbias, what does that imply?
This implies that CX = 0
What is the correlation between the OLS estimator and some other linear estimator (Given CX is equal to zero).
What is the variance of some other linear estimator, compared with the OLS estimator, given no correlation between the two.
As Cy is a covariance matrix it is necessarily positive semidefinate.