THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
In examining the determinants of income,data were collected regarding the characteristics of 45 adults,and the regression lnY = β 0 + β 1 lnX 1 + β 2 lnX 2 + β 3 X 3 + ε was used,where Y is the annual income (in thousands of dollars),X 1 is the adult's age,X 2 is his/her years of education,and X 3 is a dummy
variable = 1 and is used if the adult is female.You run the regression and obtain the equation
ln
= 6.3 + 0.91 lnx 1 + 1.3 ln x 2 - 0.05x 3 .
-How would you interpret the coefficient on years of education?
A)For every addition in his/her years of education,we would expect the income to increase on average by $1,310,assuming that all the other independent variables in the model are held constant.
B)For every one percent increase in his/her years of education,we would expect the income to increase on average by 1.3 percent,assuming that all the other independent variables in the model are held constant.
C)For every 1.3 percent increase in his/her years of education,we would expect the income to increase approximately by $1,000,assuming that all the other independent variables in the model are held constant.
D)For every one percent increase in his/her years of education,we would expect the income to increase approximately by $1,310,assuming that all the other independent variables in the model are held constant.

Question

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
In examining the determinants of income,data were collected regarding the characteristics of 45 adults,and the regression lnY = β 0  + β 1  lnX 1 + β 2 lnX 2 + β 3 X 3 + ε was used,where Y is the annual income (in thousands of dollars),X 1 is the adult's age,X 2 is his/her years of education,and X 3 is a dummy
variable = 1 and is used if the adult is female.You run the regression and obtain the equation
ln  
= 6.3 + 0.91 lnx 1 + 1.3 ln x 2 - 0.05x 3 .
-How would you interpret the coefficient on years of education?
A)For every addition in his/her years of education,we would expect the income to increase on average by $1,310,assuming that all the other independent variables in the model are held constant. 
B)For every one percent increase in his/her years of education,we would expect the income to increase on average by 1.3 percent,assuming that all the other independent variables in the model are held constant. 
C)For every 1.3 percent increase in his/her years of education,we would expect the income to increase approximately by $1,000,assuming that all the other independent variables in the model are held constant. 
D)For every one percent increase in his/her years of education,we would expect the income to increase approximately by $1,310,assuming that all the other independent variables in the model are held constant.

Quizplus · Accepted Answer

The Answer of THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
In examining the determinants of income,data were collected regarding the characteristics of 45 adults,and the regression lnY = β 0  + β 1  lnX 1 + β 2 lnX 2 + β 3 X 3 + ε was used,where Y is the annual income (in thousands of dollars),X 1 is the adult's age,X 2 is his/her years of education,and X 3 is a dummy
variable = 1 and is used if the adult is female.You run the regression and obtain the equation
ln  
= 6.3 + 0.91 lnx 1 + 1.3 ln x 2 - 0.05x 3 .
-How would you interpret the coefficient on years of education?
A)For every addition in his/her years of education,we would expect the income to increase on average by $1,310,assuming that all the other independent variables in the model are held constant. 
B)For every one percent increase in his/her years of education,we would expect the income to increase on average by 1.3 percent,assuming that all the other independent variables in the model are held constant. 
C)For every 1.3 percent increase in his/her years of education,we would expect the income to increase approximately by $1,000,assuming that all the other independent variables in the model are held constant. 
D)For every one percent increase in his/her years of education,we would expect the income to increase approximately by $1,310,assuming that all the other independent variables in the model are held constant.