26.05.2024 Multiple Linear Regression II#
Consistency#
estimator is consistent when:
approaches true population parameter
variance \(\downarrow\)
Asymptotic Normality#
What happens, when samples are not normally distributed? (e.g Lotto)
Solution: large samples (they have asymptotic normality)
Testing: stays the same
Asymptotic Efficiency#
Estimator is efficient if
consistency
asymptotic normally distributed
asymptatic vairance <= smaller than other estimators
OLS = asymptotically efficient!