Combining models into single one

#1
Yi = B0 + (B1X1,i) + (B2X2,i) + ui
Yi = A1 + (A2X1,i) + (A3X2,i) + ui
How to formulate these two models as one single linear
model using the covariates X1;i; X2;i and X3;i
Referring to Hammerbiddle's paper, X1,i has value 1 for below avg and 0 for otherwise.
X2,i has value 1 for above avg and 0 for otherwise
X3,i has value 1 for female and 0 for male
 
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