Age Groups, interaction with sex category PLUS Education dummies, i.e.: MODEL: CON1= A_M_A1*WIN1*(SEX=M)*(AGE_GROUP=1)+ ... +A_M_A6*WIN1*(SEX=M)*(AGE_GROUP=6)+ A_F_A1*WIN1*(SEX=F)*(AGE_GROUP=1) + ... + A_F_A6*WIN1*(SEX=F)*(AGE_GROUP=6)+ A_Q1*(EDUC=1)+...+A_Q4*(EDUC=4) TOBIT ESTIMATION Dependent variable: CON1 Number of observations = 456 Schwarz B.I.C. = 1466.50 Number of positive obs. = 331 Log likelihood = -1417.52 Fraction of positive obs. = 0.725877 Standard Parameter Estimate Error t-statistic P-value WIN1SEXMA1 .179029 .101405 1.76549 [.077] WIN1SEXMA2 .529226 .105050 5.03784 [.000] WIN1SEXMA3 .141225 .028288 4.99237 [.000] WIN1SEXMA4 .297322 .077605 3.83121 [.000] WIN1SEXMA5 .488893 .166660 2.93348 [.003] WIN1SEXMA6 .759230 .127423 5.95833 [.000] WIN1SEXFA1 .325960 .248006 1.31432 [.189] WIN1SEXFA2 .563832 .104877 5.37615 [.000] WIN1SEXFA3 .252213 .092911 2.71457 [.007] WIN1SEXFA4 .305257 .072690 4.19943 [.000] WIN1SEXFA5 .470958 .123174 3.82353 [.000] WIN1SEXFA6 -.145761 .206348 -.706384 [.480] EDUC1 3.56274 1.58335 2.25013 [.024] EDUC2 1.83469 1.13463 1.61700 [.106] EDUC3 2.61432 1.34402 1.94516 [.052] EDUC4 5.43635 2.34861 2.31471 [.021] SIGMA 12.1693 .507067 23.9994 [.000] Standard Errors computed from analytic second derivatives (Newton) dP/dX 0 1 WIN1SEXMA1 -0.0045410 0.0045410 WIN1SEXMA2 -0.013424 0.013424 WIN1SEXMA3 -0.0035821 0.0035821 WIN1SEXMA4 -0.0075415 0.0075415 WIN1SEXMA5 -0.012401 0.012401 WIN1SEXMA6 -0.019258 0.019258 WIN1SEXFA1 -0.0082679 0.0082679 WIN1SEXFA2 -0.014301 0.014301 WIN1SEXFA3 -0.0063973 0.0063973 WIN1SEXFA4 -0.0077427 0.0077427 WIN1SEXFA5 -0.011946 0.011946 WIN1SEXFA6 0.0036972 -0.0036972 EDUC1 -0.090368 0.090368 EDUC2 -0.046536 0.046536 EDUC3 -0.066311 0.066311 EDUC4 -0.13789 0.13789