Multiple Choice
When there are omitted variables in the regression, which are determinants of the dependent variable, then
A) you cannot measure the effect of the omitted variable, but the estimator of your included variable(s) is (are) unaffected.
B) this has no effect on the estimator of your included variable because the other variable is not included.
C) this will always bias the OLS estimator of the included variable.
D) the OLS estimator is biased if the omitted variable is correlated with the included variable.
Correct Answer:

Verified
Correct Answer:
Verified
Q2: Omitted variable bias<br>A)will always be present as
Q3: (Requires Statistics background beyond Chapters 2
Q4: The OLS residuals in the multiple regression
Q5: In a two regressor regression model, if
Q6: (Requires Calculus)For the simple linear regression
Q7: The cost of attending your college
Q8: Consider the multiple regression model with
Q9: (Requires some Calculus)Consider the sample regression
Q10: Imperfect multicollinearity<br>A)is not relevant to the field
Q11: (Requires Calculus)For the case of the multiple