I want to obtain WLS(Weighted Least Square) estimate susing -[aweight]- , I do not know what should be the value of -[aweight=?]-
My model is :
reg reject black obrat high_ltv medium_ltv unem credit_hist public_rec married, cformat(%9.3f)
And my dataset is :
input byte(reject black) float(obrat high_ltv medium_ltv unem) byte(married credit_hist public_rec)
0 0 37 0 0 3.2 1 1 0
0 0 21 0 0 3.1 1 1 0
0 0 7 0 1 10.6 1 1 0
0 0 35 0 1 2 0 1 0
0 0 29 0 0 1.8 1 1 0
0 0 33 0 1 3.2 0 1 0
0 0 40 0 0 3.9 0 1 0
0 0 33 0 1 3.1 1 1 0
0 0 37 1 0 3.2 1 1 0
0 0 19 0 0 1.8 1 1 0
0 0 34.7 0 0 3.2 0 1 0
0 0 33 0 0 4.3 0 1 0
0 0 35.2 0 1 10.6 1 1 0
0 0 34 0 0 1.8 0 1 0
1 0 7 0 0 3.6 1 1 0
0 0 36 0 0 3.9 1 1 0
0 0 33 0 0 3.2 1 1 0
0 0 17.8 0 0 4.3 1 1 0
0 0 41 0 0 3.2 1 1 0
0 0 29 0 0 4.3 0 1 0
0 0 42.1 0 0 5.3 1 1 0
0 0 35.5 1 0 10.6 1 1 0
0 0 17 0 0 4.3 1 1 0
0 0 38 0 1 3.2 1 1 0
0 0 33.1 0 0 10.6 1 1 0
0 0 35 0 1 1.8 0 1 0
0 0 33 0 1 1.8 1 1 0
0 0 24 0 1 3.6 1 1 0
0 0 35 0 1 3.1 1 1 0
0 0 24 0 0 3.2 1 1 0
0 0 31.1 0 1 3.2 0 1 0
0 0 39 0 0 3.2 1 1 0
0 0 35.6 0 0 1.8 1 1 0
0 0 16 0 0 10.6 1 1 0
0 0 22 0 1 3.2 0 1 0
1 0 16 0 1 3.2 0 0 1
0 0 31 0 1 4.3 1 1 0
0 0 23 0 0 3.1 1 1 0
0 0 37.2 0 1 3.2 1 1 0
0 0 30.1 1 0 1.8 0 1 0
0 0 35 0 1 2 1 1 0
0 0 42 0 1 3.2 0 1 0
0 0 24 0 0 5.3 1 1 0
0 0 29 0 0 3.2 1 1 0
1 0 66 0 1 3.2 0 1 0
0 0 25 0 0 3.1 0 1 0
0 0 30 0 1 3.2 1 1 0
0 0 7 0 0 3.9 0 1 0
1 0 32 1 0 3.2 1 1 0
0 0 28 0 0 3.9 1 1 0
0 0 34 0 1 1.8 1 1 0
0 0 34.4 0 0 3.2 0 1 0
0 0 36 0 1 3.2 1 1 0
0 0 32 0 1 4.3 1 1 0
0 0 30.2 0 1 1.8 0 1 0
0 0 29 0 0 3.6 0 1 0
0 0 33 0 0 4.3 0 1 0
0 0 31 0 1 3.2 1 1 0
0 0 35.2 0 1 3.2 0 1 0
0 0 22 0 1 2 1 0 1
0 0 37.2 0 1 3.1 1 1 0
0 0 21.2 0 1 3.2 1 1 0
0 0 35 0 1 3.2 0 1 0
0 0 32 0 1 4.3 0 1 0
0 0 33.8 0 0 3.2 0 1 0
1 0 20 0 0 1.8 1 0 0
0 0 38 0 1 3.2 1 1 0
0 0 26.6 0 0 1.8 0 1 0
0 0 33 0 0 3.2 1 1 0
0 0 40 1 0 3.1 1 1 0
0 0 32.4 0 1 3.2 1 1 0
0 0 33.4 0 1 3.2 1 1 0
0 0 34 0 0 10.6 1 1 0
0 0 37 1 0 3.6 1 1 0
0 0 24 0 0 3.2 1 1 0
0 0 36.7 0 0 4.3 1 1 0
0 0 21.7 0 0 3.9 1 1 0
0 0 16 0 0 3.2 1 1 0
0 0 43 0 0 4.3 1 1 0
1 0 31.4 1 0 4.3 0 1 0
0 0 33 0 0 3.2 0 1 0
1 0 27 0 1 2 1 1 0
0 0 30 1 0 3.2 0 1 0
0 0 8 0 0 3.2 0 1 0
0 0 15 0 0 3.2 1 1 0
0 0 30 0 1 3.2 1 1 0
0 0 31.2 0 1 1.8 0 1 0
1 0 35 0 1 4.3 0 1 0
0 0 20 0 0 3.2 1 1 0
1 0 37 0 0 4.3 1 1 0
0 0 28 0 1 3.9 1 1 0
0 0 40 0 1 3.2 1 1 0
0 0 27 0 0 3.9 1 1 0
1 0 50.5 0 0 1.8 1 0 0
0 0 39 0 1 3.2 0 1 0
0 0 27.8 0 1 3.2 1 1 0
0 0 27 0 0 1.8 1 0 1
0 0 24 0 0 3.2 0 1 0
0 0 43 0 1 3.2 1 1 0
0 0 21 0 0 3.6 1 1 1