dataset = DrugCosts
begin description
These data are to try to understand the effect of health plan characteristics
on drug costs.  Health plans vary in size, given as member months.  Some plans 
use generic drugs more than others.  All differ on copayments.  Some have 
strong restrictions on which drugs can be dispensed; a
value of RI=0 means that all drugs are dispensed, RI=100 means that only 
one per category is avaiable.  The goal is to determine the terms that are 
related to cost, and in particular to understand the role of GS and RI in 
determining cost.

Data provided by Mark Siracuse.
end description
begin variables
Col 10 = COST = Ave. cost to plan for 1 prescription for 1 day
;Col 1 = Mcost = Monthly cost of drugs per member
Col 2 = RXPM = Number of prescriptions per member per year
Col 3 = GS = % generic substitution
Col 4 = RI = Restrictiveness index (0=none, 100=total)
Col 5 = OC = 1 if oral contraceptives are covered, 0 else
Col 6 = COPAY = Average Rx copayment
Col 8 = AGE = Average age
Col 9 = F = % female members
Col 11 = MM = Member months 
Col 12 = ID = Plan name
end variables
begin data
(
34.35 11.93 4.2 36 45.6 1 10.87 0.097166 29.7 52.3 1.34 1158096 "MN1"
33.28 14.95 5.4 37 45.6 1 8.66 0.088087 29.7 52.3 1.34 1049892 "MN2"
34.7 20.19 7 37 45.6 1 8.12 0.008069 29.7 52.3 1.38 96168 "MN3"
24.42 14.51 7.1 40 23.6 1 5.89 0.03417 28.7 53.4 1.22 407268 "GA"
20.66 6.05 3.5 40 23.6 1 6.05 0.00111 28.7 53.4 1.08 13224 "GA2"
22.96 13.83 7.2 46 22.3 1 5.05 0.025449 29.1 52.2 1.16 303312 "AZ1"
27.94 24.83 10.7 40 22.3 1 4.96 6e-05 29.1 52.2 1.25 720 "AZ2"
24.01 15.11 7.6 43 21.3 1 7.59 0.006157 29.8 51.6 1.2 73380 "TN"
24.84 15.11 7.2 45 20 1 6.01 0.043064 32.4 50.8 1.1 513266 "San Diego"
25.18 14.25 6.6 42 20 1 5.79 0.116506 29.8 50 1.04 1388605 "NCa"
24.17 12.08 6 50 20 1 6.27 0.115924 29.8 50 1.06 1381668 "SoCA"
20.79 4.96 2.8 45 17.7 1 7.91 4.1e-05 29.8 52 0.99 491 "NC/SC"
22.23 13.09 7.1 40 17.3 1 7.99 0.028574 29.8 52 1.2 340572 "LA"
23.33 12.13 6.2 46 16.8 1 5.86 0.020937 29.8 51 1.15 249540 "FL"
26.77 18.22 8.2 36 12.9 1 5.67 0.04991 30.7 53.4 1.26 594860 "Dallas"
26.43 11.54 5.2 37 12 1 5.2 0.021288 28.5 49 1.32 253728 "Chicago"
24.63 14.42 7 38 11 1 7.3 0.023219 30.1 52.9 1.21 276744 "Houston"
28.66 12.55 5.3 34 7.7 0 5.65 0.031936 30.2 52.8 1.35 380640 "NJ"
27.97 8.47 3.6 16 7.7 0 6.07 0.001113 29.2 52.1 1.31 13265 "DE"
26.29 14.83 6.8 35 7.4 1 5.27 0.064042 27.7 52.9 1.36 763296 "Mid-Atlantic"
21.82 6.62 3.6 39 7.4 1 5.51 0.000483 27.7 52.9 1.15 5760 "Richmond"
26.44 7.86 3.6 36 7 0 5.45 0.067178 28.5 53.7 1.35 800676 "NY"
27.81 13.57 5.9 41 6.6 0 5.53 0.049624 27.3 51.4 1.23 591456 "C/E PA"
25.03 13.98 6.7 38 3.1 1 4.13 0.035869 28.9 53.9 1.2 427509 "S NE"
29.29 14.68 6 40 2.8 1 5.43 0.017841 28.8 56.7 1.3 212640 "St. Louis"
27.21 14.46 6.4 41 2.6 1 5.14 0.029118 28.9 51.4 1.21 347049 "OH"
27.11 13.85 6.1 42 2.6 1 5.71 0.00383 27.4 49.6 1.26 45654 "Cincinnati"
30.56 12.68 5 42 2.6 1 4.99 0.000397 25.2 57.2 1.37 4727 "Columbus"
25.63 11.16 5.2 36 0.3 1 4.79 0.018841 28.5 53.4 1.38 224556 "W PA"
)