9. Using regression adjustments to estimate the effects of policy intervention Suppose you want to examine the effects of a job training program, and estimate the following regression model to do so: earn 98= 4.7 +2.1train +0.37earn 96 +0.3educ - 0.14age +3 married where earn 98 = labor market earnings in 1998, in thousands of dollars train =1 if the employee participated in the training program, and =O otherwise earn 96 = labor market earnings in 1996 (the year before the training program), in thousands of dollars educ = years of schooling age = age, in years married =1 if the employee is married, and =0 otherwise n = 1,200 R2 = 0.43 Using unrestricted regression adjustment, which of the following best represents the estimated equation with full interactions? O earn 98 = 5.3+3.4train +0.38earn 96 +0.34educ -0.18age +3.3married + 0.2 train earn 96 - earn 96 ( +0.037 train. (educ educ) +0.055 train. (age age) +0.76 train. (married - married earn 98 = 5.3 +3.4train +0.38earn 96 +0.34educ 0.18age +3.3married + 0.2 train. (age - age) +0.037 train. (age - age) + 0.055 train (age - age) + 0.76 train. (age - age) earn 98= 5.3+3.4train + 0.38earn 96 +0.34educ 0.18age +3.3married + 0.2 train. (educ educ) + 0.037 train- (educ educ) +0.055 train. (educ educ) +0.76 train (educ educ) earn 98 = 5.3 + 3.4train +0.38earn 96+0.34educ 0.18age +3.3married +0.2 train (married married) +0.037train (married married) +0.055 train. (married married) +0.76 train (married married Using your answer from the preceding question, the estimated average treatment effect of the training program is Tura = Which of the following best represents the meaning of the estimated average effect of the training program? The training program led to an increase in 1998 earnings of $180. The training program led to an increase in 1998 earnings of $3,400. The training program led to an increase in 1998 earnings of $340. The training program led to an increase in 1998 earnings of $5,300. 9. Using regression adjustments to estimate the effects of policy intervention Suppose you want to examine the effects of a job training program, and estimate the following regression model to do so: earn 98= 4.7 +2.1train +0.37earn 96 +0.3educ - 0.14age +3 married where earn 98 = labor market earnings in 1998, in thousands of dollars train =1 if the employee participated in the training program, and =O otherwise earn 96 = labor market earnings in 1996 (the year before the training program), in thousands of dollars educ = years of schooling age = age, in years married =1 if the employee is married, and =0 otherwise n = 1,200 R2 = 0.43 Using unrestricted regression adjustment, which of the following best represents the estimated equation with full interactions? O earn 98 = 5.3+3.4train +0.38earn 96 +0.34educ -0.18age +3.3married + 0.2 train earn 96 - earn 96 ( +0.037 train. (educ educ) +0.055 train. (age age) +0.76 train. (married - married earn 98 = 5.3 +3.4train +0.38earn 96 +0.34educ 0.18age +3.3married + 0.2 train. (age - age) +0.037 train. (age - age) + 0.055 train (age - age) + 0.76 train. (age - age) earn 98= 5.3+3.4train + 0.38earn 96 +0.34educ 0.18age +3.3married + 0.2 train. (educ educ) + 0.037 train- (educ educ) +0.055 train. (educ educ) +0.76 train (educ educ) earn 98 = 5.3 + 3.4train +0.38earn 96+0.34educ 0.18age +3.3married +0.2 train (married married) +0.037train (married married) +0.055 train. (married married) +0.76 train (married married Using your answer from the preceding question, the estimated average treatment effect of the training program is Tura = Which of the following best represents the meaning of the estimated average effect of the training program? The training program led to an increase in 1998 earnings of $180. The training program led to an increase in 1998 earnings of $3,400. The training program led to an increase in 1998 earnings of $340. The training program led to an increase in 1998 earnings of $5,300