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(Solved): Consider our population linear regression model Y=\beta _(0) \beta _(1)x U with E(U|(x)|)=0. Which a ...



Consider our population linear regression model

Y=\beta _(0) \beta _(1)x U

with

E(U|

(

x)

|)

=0

. Which assumptions are needed for the OLS estimators to be unbiased? Select all that apply. The data comes from a random sample. The sample outcomes of

x

are not all the same number. The error term has a mean 0 and a constant variance. The conditional expectation is linear

E[Y|

[

x]

|]

=\beta _(0) \beta _(1)x

with finite second-order moments

E[Y^(2)]

and

E[x^(2)]

. The error term is a normally distributed variable with mean 0 and a constant variance.



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