When there are omitted variables in the regression, which are ...

[mcmcdaniel]

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.

Question 2

In the probit model Pr(Y = 1 = (0 + 1X),
 
  A) is not defined for (0).
  B) is the standard normal cumulative distribution function.
  C) is set to 1.96.
  D) can be computed from the standard normal density function.

[tandmlomax84]

Answer to Question 1

Answer: D

Answer to Question 2

Answer: B

[mcmcdaniel]

Thank you

[tandmlomax84]

Happy to help you