$4.$ Dummy explanatory variables when the dependent variable is log$($y$)$

Consider the following estimated model, where the dependent variable is the log of the hourly wage:

log$($wage$)=0\mathrm{.}4170\mathrm{.}297$female$+0\mathrm{.}08$educ$+0\mathrm{.}029$exper$0\mathrm{.}00058($exper$2)+0\mathrm{.}032$tenure$0\mathrm{.}00059($tenure$2)$log$($wage$)^=0\mathrm{.}4170\mathrm{.}297$female$+0\mathrm{.}08$educ$+0\mathrm{.}029$exper$0\mathrm{.}00058$exper$2+0\mathrm{.}032$tenure$0\mathrm{.}00059$tenure$2$

femalefemale$=1$ if the person is female, and $0$ if the person is maleeduceduc$=$ level of educationexperexper$=$ level of expertisetenuretenure$=$ duration of tenure

The coefficient of femalefemale$$implies that for the same levels of education, expertise, and tenure, women earn about$,$ holding other factors fixed.