3.11 The following wage equations were fitted separately for males and females, using EAWE Data Set 21 (standard errors in parentheses): males EARNINGS = -13.4608 + 1.7585 S + 1.2909 EXP (6.3129) (0.3317) (0.3062) females EARNINGS = -19.4567 + 2.2272 S + 0.6513 EXP (5.7142) (0.2979) (0.2794) Using equation (3.38), explain why the standard errors of the coefficients of S and EXP are greater for the male subsample than for the female subsample. Further data: males o n females 10.505 250 0.5338 6.9543 7.9088 11.413 250 -0.6234 7.7450 9.0867 I'S EXP MSD(S) MSD(EXP) 3.11 The following wage equations were fitted separately for males and females, using EAWE Data Set 21 (standard errors in parentheses): males EARNINGS = -13.4608 + 1.7585 S + 1.2909 EXP (6.3129) (0.3317) (0.3062) females EARNINGS = -19.4567 + 2.2272 S + 0.6513 EXP (5.7142) (0.2979) (0.2794) Using equation (3.38), explain why the standard errors of the coefficients of S and EXP are greater for the male subsample than for the female subsample. Further data: males o n females 10.505 250 0.5338 6.9543 7.9088 11.413 250 -0.6234 7.7450 9.0867 I'S EXP MSD(S) MSD(EXP)