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To Explain Personal Consumption (CONS)measured in Dollars,data Is Collected For \begin{array}

Question 241

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To explain personal consumption (CONS) measured in dollars,data is collected for  INC:  personal income in dollars  CRDTLIM: $1 plus the credit limit in dollars available to the individual  APR:  average annualised percentage interest rate for borrowing for the individual  per person advertising expenditure in dollars by manufacturersin the city  ADVT:  where the individuallives  GENDER:  gender of the individual; 1 if female, 0 if male \begin{array} { | l | l | } \hline \text { INC: } & \text { personal income in dollars } \\\hline \text { CRDTLIM: } & \$ 1 \text { plus the credit limit in dollars available to the individual } \\\hline \text { APR: } & \text { average annualised percentage interest rate for borrowing for the individual } \\\hline & \text { per person advertising expenditure in dollars by manufacturersin the city } \\\text { ADVT: } & \text { where the individuallives } \\\hline \text { GENDER: } & \text { gender of the individual; } 1 \text { if female, 0 if male } \\\hline\end{array} A regression analysis was performed with CONS as the dependent variable and log(CRDTLIM) ,ln(APR) ,log(ADVT) and GENDER as the independent variables.The estimated model was y^\hat{y} = 2.28 * 0.29 log(CRDTLIM) + 5.77 llogAPR) + 2.35 log(ADVT) + 0.39 GENDER
AU: Please advise if 'llogAPR' is 'logAPR'.
What is the correct interpretation for the estimated coefficient for GENDER?


A) Holding the effect of the other independent variables constant, mean personal consumption for males is estimated to be $0.39 higher than females.
B) Holding the effect of the other independent variables constant, mean personal consumption for females is estimated to be 0.39% higher than males.
C) Holding the effect of the other independent variables constant, mean personal consumption for males is estimated to be 0.39% higher than females.
D) Holding the effect of the other independent variables constant, mean personal consumption for females is estimated to be $0.39 higher than males.

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