The IV regression assumptions include all of the following with the exception of a. the error terms must be normally distributed.
b. $E \left( u _ { i } \mid W _ { 1 i } , \ldots , W _ { r i } \right) = 0$.
c. Large outliers are unlikely: the $X$ 's, $W$ 's, $Z$ 's, and $Y$ 's all have nonzero, finite fourth moments.
d. $\left( X _ { 1 i } , \ldots , X _ { k i } , W _ { 1 i } , \ldots , W _ { r i } , Z _ { 1 i } , \ldots Z _ { m i } , Y _ { i } \right)$ are i.i.d. draws from their joint distribution.

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The Answer of The IV regression assumptions include all of the following with the exception of a. the error terms must be normally distributed.
b. $E \left( u _ { i } \mid W _ { 1 i } , \ldots , W _ { r i } \right) = 0$.
c. Large outliers are unlikely: the $X$ 's, $W$ 's, $Z$ 's, and $Y$ 's all have nonzero, finite fourth moments.
d. $\left( X _ { 1 i } , \ldots , X _ { k i } , W _ { 1 i } , \ldots , W _ { r i } , Z _ { 1 i } , \ldots Z _ { m i } , Y _ { i } \right)$ are i.i.d. draws from their joint distribution.

The IV Regression Assumptions Include All of the Following with the Exception