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Omitted Variable Bias Is a Problem Because

Question 10

Multiple Choice

Omitted variable bias is a problem because


A) it causes perfect multicollinearity.
B) it causes the model to no longer be linear in the parameters.
C) it prevents the model from being able to be estimated by ordinary least squares.
D) it prevents correctly estimating marginal effects.

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