Age Groups, interaction with sex category, i.e.:
 MODEL: 
CON2= A_M_A1*WIN2*(SEX=M)*(AGE_GROUP=1) +... +A_M_A6*WIN2*(SEX=M)*(AGE_GROUP=6)+
     A_F_A1*WIN2*(SEX=F)*(AGE_GROUP=1) + ... + A_F_A6*WIN2*(SEX=F)*(AGE_GROUP=6)

 Number of observations = 1039  E'PZ*E = .994096E-33

                          Standard
 Parameter  Estimate        Error       t-statistic   P-value
 A_M_A1     .229379       .119071       1.92641       [.054]
 A_M_A2     .423724       .077025       5.50111       [.000]
 A_M_A3     .146829       .021061       6.97176       [.000]
 A_M_A4     .260782       .111133       2.34658       [.019]
 A_M_A5     .250174       .071631       3.49252       [.000]
 A_M_A6     .506501       .153691       3.29557       [.001]
 A_F_A1     .276420       .128466       2.15170       [.031]
 A_F_A2     .374627       .098553       3.80127       [.000]
 A_F_A3     .212015       .090678       2.33812       [.019]
 A_F_A4     .318900       .095721       3.33156       [.001]
 A_F_A5     .338069       .103278       3.27338       [.001]
 A_F_A6     .123110       .039541       3.11351       [.002]

 Standard Errors computed from   heteroscedastic-consistent matrix 
 (Robust-White)

 Dependent variable: CON2
        Mean of dep. var. = 4.60932  Std. error of regression = 8.30148
   Std. dev. of dep. var. = 9.07813                 R-squared = .173530
 Sum of squared residuals = 70775.2        Adjusted R-squared = .164678
    Variance of residuals = 68.9146             Durbin-Watson = 1.96212 [<.451]