Table 4: Estimates of the binary probit model.

VariableCoefficientStd. error -statisticMarginal effects

Constant−.5489 .8840 −.621
GEN.3702.30631.209.0503
AGE −.0081 .0096−.843 −.0604
EDU−.2780 .3498−.795−.0216
PS−.1837.3706−.496 −.0275
MS−.1304.3040−.429 −.0192
HS−.1416**.0657−2.155 −.1103
INCOME.0007**.00041.776 .1067
MILKPLACE .326D-07 .406D-07 .803 .0222
PREFREA3.0417*.30869.857 .5515
MPRICE−.9316*.2719−3.426 −.0858

Log-likelihood−55.924 Akaike I.C. .4395
Restricted Log- −179.742Schwarz I.C. .5630
Mc Fadden Pseudo- 2.6889HQIC .4889
2 ( )247.635 Ben./Lerman .8912
Significance level.00000 Cramer.7330
Hosmer-Lemeshow 225.457Veall/Zim..8296
Predicted percentage correction93.00

Note: (***), (**), (*) denote significance at the 10%, 5%, and 1% levels, respectively.