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An Implication Of Is That
A) β^1 is unbiased. \hat { \beta } _ { 1 } \text { is unbiased. }

Question 31

Multiple Choice

An implication of n(β^1−β1) →dN(0,var⁡(vi) [var⁡(Xi) ]2) \sqrt { n } \left( \hat { \beta } _ { 1 } - \beta _ { 1 } \right) \stackrel { d } { \rightarrow } N \left( 0 , \frac { \operatorname { var } \left( v _ { i } \right) } { \left[ \operatorname { var } \left( X _ { i } \right) \right] ^ { 2 } } \right) is that


A) β^1 is unbiased. \hat { \beta } _ { 1 } \text { is unbiased. }
B) β^1 is consistent \hat { \beta } _ { 1 } \text { is consistent }
C) OLS is BLUE.
D) there is heteroskedasticity in the errors.

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