Answer Happy

D Use the following information to answer Questions 1-8. Consider the following model In(wage) Bo + Biezper + Batenure + u where wage is the monthly salary in dollars, exper is the number of years in the work force, tenure is the number of years at the current job. The OLS estimated equation is = In(wage) - with R2 0.066. 5.89 +0.0182 x exper+0.0022 x tenure,

Question 5 10 pts Suppose the conditional variance of the error term u is given by Var(u, exper,, tenure,) = exper,, which implies a worker with more working experience has a bigger variation in other factors affecting his/her wage. (a) In this case, which assumption is violated? [Select] (b) Can the OLS estimator be unbiased? [Select] (c) Can the OLS estimator be the Best Linear Unbiased Estimator (BLUE)? [Select]

ies Question 5 Suppose the conditional variance of the error term u is given by Var(u, exper,, tenure,)= experi, which implies a worker with more working experience has a bigger variation in other factors affecting his/her wage. (a) In this case, which assumption is violated ✓ [Select] MLR1 MLR2 MLR3 MLR4 (b) Can the OLS estimator be unbiased? [S (c) Can the OLS estimator be the Best Linear [Select] 10 pts MLR5 None of the assumptions 23

Question 5 Suppose the conditional variance of the error term u is given by Var(u exper,, tenure,) = exper,, 10 pts which implies a worker with more working experience has a bigger variation in other factors affecting his/her wage. (a) In this case, which assumption is violated? [Select] (b) Can the OLS estimator be unbiased✓ [Select] unbiased biased (c) Can the OLS estimator be the Best Linear onorased estimator (OLJE)? [Select]

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