To test whether there is a significant difference in the mean weekly earnings between males and females (i.e., whether gender affects mean earnings), you regress weekly earnings on a constant and a...


To test whether there is a significant difference in the mean weekly earnings<br>between males and females (i.e., whether gender affects mean earnings), you regress<br>weekly earnings on a constant and a binary variable, which takes on a value of 1 for<br>females and is 0 otherwise. The results were (standard errors are in the<br>parentheses):<br>7.<br>2<br>Ear 610.5 160.2Female, n 5000, R2<br>0.086<br>(9.4)<br>(12.6)<br>(a) Will you do a t or an F test? What is your conclusion?<br>(b) Are these results evidence enough to argue that there is discrimination against<br>females? Why or why not?<br>

Extracted text: To test whether there is a significant difference in the mean weekly earnings between males and females (i.e., whether gender affects mean earnings), you regress weekly earnings on a constant and a binary variable, which takes on a value of 1 for females and is 0 otherwise. The results were (standard errors are in the parentheses): 7. 2 Ear 610.5 160.2Female, n 5000, R2 0.086 (9.4) (12.6) (a) Will you do a t or an F test? What is your conclusion? (b) Are these results evidence enough to argue that there is discrimination against females? Why or why not?

Jun 05, 2022
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