Question 11 In the model log(wage) = Bo + Bieduc + Byexper+ u, suppose that exper is exogenous, and (dist_school, fatheduc) are instruments for educ. We may test the null hypothesis that (dist_school, fatheduc) are both exogenous by the statistic nR, where n is the sample size and R2 is the R-squared from the regression of Not yet answered the 2SLS residual on Marked out of 0.90 Flag question O a. (educ, exper). O b. (dist school, fatheduc, exper). O c. (dist school, fatheduc, educ, exper). O d. (dist school, fatheduc, u). O e. (dist school, fatheduc, educ). Question 12 In the model log(wage) = Bo + Bieduc + u, suppose that (motheduc, fatheduc) are valid instruments for educ. We can obtain the 2SLS estimate of B, by regressing log(wage) on educ hat, where educ-hat is the fitted value from the OLS regression of educ on (motheduc, fatheduc). We can then use the estimated Not yet answered coefficient on educ hat and its standard error from the OLS regression of log(wage) on educ hat to construct the 95% confidence interval for B1. Marked out of 0.90 P Flag question O a. I agree with the statement only if educ is proven to be endogenous. O b. I agree with the statement. O c. I agree with the statement only if educ-hat is correlated with (motheduc, fatheduc). O d. I agree with the statement only if educ is correlated with (motheduc, fatheduc) O e. I disagree with the statement. Question 13 With valid instruments (motheduc, fatheduc), the 2SLS estimator of B, in the model log(wage) = Bo + Beduc + u is _ _ the estimated coefficient on educ obtained by regressing log(wage) on (educ, vh), where vh is the OLS residual of the regression of educ on (motheduc, fatheduc). Not yet answered Marked out of 0.90 . the probability limit of Flag question O b. totally different from O c. the same as O d. closer to zero compared to O e. further from zero compared to