$4\mathrm{.}6.$What would you expect to be true of the gender gap and the coefficient on log hours in occupations offering more standard work weeks, compared to most other occupations?

$($a$)$The gender gap would be smaller and the coefficient on log hours would be smaller.

$($b$)$Thegendergapwouldbesmallerandthecoefficientonloghourswouldbelarger$.$

$($c$)$Thegendergapwouldbelargerandthecoefficientonloghourswouldbesmaller$.$

$($d$)$The gender gap would be larger and the coefficient on log hours would be larger.

$4\mathrm{.}7.$Run the log earnings regression for postsecondary teachers $($occd code $2205).$ You should find that $2=0\mathrm{.}3074.$ How much lower are women$$s earnings compared to men$$s earnings in this occupation, as a positive percentage value, holding fixed the other explanatory variables?

$4\mathrm{.}8.$With reference to the same regression results, by how much does predicted earnings in this occupation increase, in percent, when hours worked increases by $10$ percent, holding fixed the other explanatory variables?

$4\mathrm{.}9.$Run the log earnings regression for civil engineers $($occd code $1360).$ You should find that $2=0\mathrm{.}2225.$ How much lower are women$$s earnings compared to men$$s earnings in this occupation, as a positive percentage value, holding fixed the other explanatory variables?

$4\mathrm{.}10.$With reference to the same regression results, by how much does predicted earnings in this occupation increase, in percent, when hours worked increases by $10$ percent, holding fixed the other explanatory variables?