I'm doing an analysis of the sample adult files from the Behavioral Risk Factor Surveillance Survey (BRFSS) from the Center on Disease Control and Prevention, pooling 3 years of data from 2001, 2007, and 2015; yielding 1,084,878 observations. I'm using complex survey design to complete my analysis in Stata 15.1 SE.
In my analysis, I'm looking at the means of indicator variables in the dataset for various subpopulations, and using these to do a lincom calculation (for the difference in means between two subpopulations). However, when I input my code for the mean for the indicator variables, I get different estimates depending on whether or not I put all of the indicator variables in the same line of code or not.
I'm attempting to write a more succinct code, so I prefer to have the variables in one line of code, especially as Stata formats the results in one table of easily readable output (which is important to retain for this analysis), but the differences in the estimates are something I'd like to address, whether it's a coding or interpretation issue (as in I haven't coded what I've intended to).
Along the the lines of writing a more succinct code, I've attempted to use local macros to make the variables bmi drinkingvol binarysmoker actlim2 and disabilitya easily callable in the do-file. However, when I do the code below, Stata gives this error message for lincom: [bmidrinkingvolbinarysmokeractlim2disabilitya] equation not recognized. r(303).
This exact Stata error persists even when I define the local macro like so:
Using a nested loop yields individual tables for each variable mean, so it is also not optimal:
Here is a dataex, which only has an extract from year 2007:
Any assistance in helping me simplify my code and figure out why I'm generating different point estimates would be helpful! Thank you in advance!
Code:
//WEIGHT VARIABLE GENERATION { generate weightvar = _finalwt assert _finalwt == . if _llcpwt ~= . replace weightvar = _llcpwt if _llcpwt ~= . } //SVYSET FOR ENTIRE MERGED DATASET { svyset _psu [pw = weightvar], strata(_ststr)
Code:
foreach i in 2007 2015 { *rural (mscode == 5) svy, subpop(if mscode == 5 & year == `i'): mean bmi //body mass index svy, subpop(if mscode == 5 & year == `i'): mean drinkingvol //drinking volume (drinks/per month) svy, subpop(if mscode == 5 & year == `i'): mean binarysmoker //smoker or non-smoker svy, subpop(if mscode == 5 & year == `i'): mean actlim2 //disability (1= has an activity limitation 0= does not) svy, subpop(if mscode == 5 & year == `i'): mean disabilitya //disability (1= has an activity limitation or req. special equip. 0= no) } ***********CODE BELOW YIELDS DIFFERENT MEAN ESTIMATES THAN ABOVE foreach i in 2007 2015 { svy, subpop(if mscode == 5 & year == `i'): mean bmi drinkingvol /// binarysmoker actlim2 disabilitya }
Along the the lines of writing a more succinct code, I've attempted to use local macros to make the variables bmi drinkingvol binarysmoker actlim2 and disabilitya easily callable in the do-file. However, when I do the code below, Stata gives this error message for lincom: [bmidrinkingvolbinarysmokeractlim2disabilitya] equation not recognized. r(303).
Code:
local variables bmi drinkingvol binarysmoker actlim2 disabilitya foreach i in 2001 2007 2015 { svy, subpop(if year == `i'): mean `variables', over(primeage2) lincom [`variables']oldage - [`variables']primeage }
Code:
local variables "bmi drinkingvol binarysmoker actlim2 disabilitya"
Code:
foreach i in 2001 2007 2015 { foreach var in bmi drinkingvol binarysmoker actlim2 disabilitya { svy, subpop(if year == `i'): mean `var', over(primeage2) } }
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input byte mscode float binarysmoker int(drinkingvol bmi) float(actlim2 disabilitya year primeage2) byte gender 3 0 . 19 1 1 2007 1 1 3 0 . 36 0 0 2007 1 0 3 0 . 29 0 0 2007 0 1 5 0 12 21 0 0 2007 1 1 2 0 . 31 0 0 2007 0 1 1 1 . 25 1 1 2007 0 0 1 1 . 21 . . 2007 1 0 5 0 1 21 0 0 2007 1 1 5 1 30 32 0 0 2007 1 0 5 0 . . . . 2007 1 1 5 0 . 30 0 0 2007 0 1 2 0 . 25 . . 2007 1 0 1 1 . 26 0 0 2007 0 0 1 1 . 25 . . 2007 1 0 1 0 . 24 0 0 2007 0 1 2 0 . 30 . . 2007 0 1 1 0 . 38 . . 2007 1 0 5 0 4 33 0 0 2007 1 1 1 0 9 22 0 0 2007 . 0 5 0 . 25 0 0 2007 . 1 5 0 . 28 0 0 2007 1 1 5 0 . 23 0 0 2007 0 1 2 1 105 20 1 1 2007 1 0 2 1 . 20 0 0 2007 1 1 1 1 . 32 0 0 2007 1 1 1 1 . 25 0 0 2007 0 0 1 0 . 50 1 1 2007 1 1 3 0 42 22 0 0 2007 0 1 2 1 . 25 0 0 2007 1 0 2 0 96 28 . . 2007 1 0 1 0 . 22 . . 2007 . 1 1 0 . 28 0 0 2007 0 1 3 0 . 29 1 1 2007 1 1 3 0 . 23 1 1 2007 1 1 3 0 . 31 0 0 2007 1 1 3 0 . 25 0 0 2007 0 1 3 1 . 28 1 1 2007 1 0 3 1 2 55 0 0 2007 . 1 3 1 60 32 0 0 2007 1 0 3 0 . 29 0 0 2007 1 1 5 0 . 23 0 0 2007 0 1 5 1 . 26 0 0 2007 1 1 5 0 . 19 0 0 2007 1 1 3 0 . 25 0 0 2007 0 1 3 0 . 29 1 1 2007 0 1 3 0 . 44 0 0 2007 1 1 3 1 . 27 1 1 2007 0 1 3 0 9 20 0 0 2007 0 1 3 0 . 27 1 1 2007 1 0 3 0 1 27 0 0 2007 1 1 3 0 8 26 0 0 2007 1 1 3 0 5 23 0 0 2007 1 1 3 0 4 26 0 0 2007 1 1 5 1 . 26 0 0 2007 0 0 5 0 . 32 1 1 2007 0 1 3 1 . 29 1 1 2007 0 1 3 0 . 25 0 0 2007 . 0 3 0 . 27 0 0 2007 1 1 3 0 . 22 0 0 2007 0 1 3 0 . 29 1 1 2007 0 0 3 0 . 35 0 0 2007 0 1 3 0 . 29 0 0 2007 1 1 3 0 . 33 0 0 2007 1 1 5 0 . 23 0 0 2007 1 1 5 0 . 28 1 1 2007 0 1 1 0 . 22 0 0 2007 1 0 2 0 . 23 1 1 2007 1 1 3 0 . 24 0 0 2007 0 1 3 0 . . 0 0 2007 . 1 3 1 60 24 1 1 2007 0 0 3 1 . 25 0 1 2007 0 0 3 1 36 26 0 0 2007 1 0 3 1 32 36 0 0 2007 1 1 3 0 40 25 0 0 2007 0 0 3 1 . 19 1 1 2007 1 1 3 0 4 27 1 1 2007 0 1 3 0 144 24 0 0 2007 1 0 3 0 . 28 1 1 2007 0 1 3 1 42 26 0 0 2007 1 1 3 0 5 24 0 0 2007 1 1 3 0 . 17 0 0 2007 1 1 3 0 . 39 0 1 2007 0 1 3 0 . 24 1 1 2007 0 1 5 0 8 26 0 1 2007 0 1 5 0 . 25 0 0 2007 0 0 1 0 . 23 1 1 2007 0 1 5 1 6 19 0 0 2007 1 0 5 0 . 28 0 0 2007 0 0 5 0 . 28 0 0 2007 0 1 5 1 . 24 0 0 2007 1 1 5 0 . 26 0 0 2007 0 1 5 0 . 32 1 1 2007 1 1 5 1 . 24 0 0 2007 0 0 5 0 8 28 0 0 2007 1 0 5 1 . 22 0 0 2007 0 1 5 . . 21 0 0 2007 0 1 5 0 . 26 0 0 2007 0 1 5 1 360 23 0 0 2007 1 0 5 0 12 20 0 0 2007 1 1 5 1 . 32 0 0 2007 0 1 5 1 . 22 1 1 2007 1 1 5 0 . 22 0 0 2007 0 1 5 0 24 . 0 0 2007 0 1 5 1 . 23 0 0 2007 1 1 5 0 8 24 0 0 2007 0 1 5 0 . 23 0 0 2007 0 1 5 0 . 29 0 0 2007 0 1 5 0 6 19 1 1 2007 1 1 5 0 . 27 0 0 2007 0 1 5 0 17 32 0 0 2007 0 0 5 0 . 33 0 0 2007 1 1 5 0 32 25 0 0 2007 1 0 5 0 2 21 0 0 2007 1 1 5 0 40 35 0 0 2007 1 0 5 1 90 19 0 0 2007 0 1 5 1 . 20 1 1 2007 0 0 5 0 3 22 1 1 2007 0 1 5 0 . 24 0 0 2007 0 0 5 0 . 23 0 0 2007 1 1 5 0 4 28 0 0 2007 0 1 5 0 . 25 1 1 2007 0 1 5 0 2 18 0 0 2007 0 1 5 0 6 25 0 0 2007 1 1 5 0 . 27 1 1 2007 0 0 5 0 2 23 0 0 2007 1 1 5 0 . . 1 1 2007 1 1 5 0 2 21 0 0 2007 1 1 5 0 . 24 1 1 2007 0 1 5 0 0 25 1 1 2007 0 1 5 0 . 23 1 1 2007 0 1 5 1 . 21 0 0 2007 0 1 5 0 21 19 0 0 2007 0 1 5 0 4 19 0 0 2007 1 1 5 0 . 25 0 0 2007 1 1 5 0 . 32 0 0 2007 1 0 5 0 . 36 0 0 2007 1 0 5 1 36 28 1 1 2007 1 1 5 0 . 24 0 0 2007 0 1 5 0 4 27 0 0 2007 1 0 5 0 . 28 1 1 2007 0 1 5 0 . 23 0 0 2007 0 0 5 0 . 24 0 0 2007 0 0 5 0 . 21 0 0 2007 0 1 5 0 5 29 1 1 2007 0 1 5 1 . 32 0 0 2007 1 1 5 0 1 20 0 0 2007 1 1 5 0 0 41 1 1 2007 0 1 5 0 . 28 0 0 2007 1 1 5 0 63 27 1 1 2007 0 0 5 0 1 29 1 1 2007 1 1 5 0 1 23 0 0 2007 1 1 5 0 . 38 . . 2007 1 0 5 0 . 27 1 1 2007 0 0 5 0 . 26 1 1 2007 1 0 5 0 8 31 1 1 2007 1 1 5 0 . 35 0 0 2007 0 0 5 0 50 24 1 1 2007 0 0 5 1 4 23 0 0 2007 1 0 5 1 . 31 0 0 2007 0 1 5 0 1 25 0 0 2007 0 1 5 0 . 26 1 1 2007 0 1 5 0 . 28 1 1 2007 0 1 5 1 15 27 0 0 2007 1 1 5 0 . 28 1 1 2007 0 1 5 0 . 45 1 1 2007 1 1 5 1 36 18 0 0 2007 0 1 5 0 . 30 0 0 2007 0 1 5 0 1 19 0 0 2007 1 1 5 0 . 27 0 0 2007 0 1 5 0 . 17 0 0 2007 1 1 5 0 . 27 0 0 2007 0 1 5 0 . 31 1 1 2007 0 1 5 0 . . 0 0 2007 1 1 5 1 4 21 0 0 2007 1 1 5 0 . 22 0 0 2007 0 1 5 0 16 27 0 0 2007 0 1 5 0 8 39 1 1 2007 1 0 5 0 2 29 0 0 2007 0 0 5 0 . 20 0 0 2007 1 1 5 0 2 21 0 0 2007 0 1 5 0 . 16 1 1 2007 0 1 5 0 8 17 0 0 2007 1 1 5 0 . 25 1 1 2007 0 1 5 0 . 16 0 0 2007 0 1 5 0 . 19 0 0 2007 0 1 5 1 36 23 0 0 2007 1 0 5 0 1 22 . . 2007 1 1 5 0 . 39 0 0 2007 1 1 5 1 360 23 0 0 2007 1 0 5 1 12 29 0 0 2007 . 0 5 0 6 32 0 0 2007 0 1 5 0 21 22 0 0 2007 1 1 5 0 . 25 1 1 2007 0 1 5 1 . 19 1 1 2007 1 0 5 0 . 27 0 0 2007 0 0 5 1 . 34 0 0 2007 0 1 5 0 . 20 0 0 2007 0 1 5 0 24 27 0 0 2007 1 1 5 1 . 28 1 1 2007 0 0 5 0 . 31 0 0 2007 0 1 5 0 . 23 0 0 2007 0 1 5 0 126 27 1 1 2007 0 0 5 0 . 24 1 1 2007 0 0 5 0 1 26 0 0 2007 0 1 5 0 . 22 0 0 2007 0 1 5 0 . 25 0 0 2007 1 1 5 0 48 19 0 0 2007 0 1 5 1 . 22 0 0 2007 0 1 5 0 16 27 0 0 2007 1 1 5 1 3 . 0 0 2007 . 1 5 0 30 25 1 1 2007 0 1 5 0 32 25 0 0 2007 1 1 5 0 . 35 0 0 2007 0 1 5 0 4 23 1 1 2007 0 1 5 0 24 26 0 0 2007 0 1 5 0 8 23 0 0 2007 1 1 5 0 . 29 1 1 2007 0 1 5 0 . 30 0 0 2007 0 1 5 0 . 31 0 0 2007 0 1 5 0 . . 1 1 2007 1 1 5 1 . 27 0 0 2007 1 0 5 0 . 24 0 0 2007 0 1 5 1 8 25 1 1 2007 0 0 5 1 42 21 0 0 2007 0 0 5 0 . 28 0 0 2007 1 1 5 0 60 25 0 0 2007 0 0 5 0 9 33 0 0 2007 0 0 5 1 . 23 0 0 2007 1 1 5 0 . 25 0 0 2007 0 1 5 1 . 23 1 1 2007 1 1 5 0 . 22 0 0 2007 1 1 5 0 15 35 . 9 2007 1 0 5 0 . . 1 1 2007 0 1 5 0 . 28 1 1 2007 0 1 5 0 . 28 0 0 2007 0 0 5 0 . 31 1 1 2007 0 1 5 0 . 24 0 0 2007 0 1 5 0 . 22 0 0 2007 0 0 5 0 . 26 0 0 2007 1 1 5 1 20 33 0 0 2007 1 1 5 1 50 23 0 0 2007 1 1 5 1 . 22 0 0 2007 0 1 5 0 90 26 0 0 2007 1 1 5 0 . 31 0 0 2007 1 0 5 0 18 27 0 0 2007 1 1 5 0 . 26 0 0 2007 0 0 5 0 . 24 0 0 2007 1 1 5 0 . 31 1 1 2007 0 0 5 1 72 25 0 0 2007 1 0 5 0 . 19 0 0 2007 . 1 5 0 . 31 0 0 2007 0 0 5 0 . 24 0 0 2007 0 1 5 1 3 22 0 0 2007 0 1 5 1 36 19 0 0 2007 1 1 5 0 420 . 0 0 2007 0 1 5 0 . 31 0 0 2007 0 1 5 1 . 33 0 0 2007 1 0 5 0 . 29 1 1 2007 0 1 5 0 3 44 0 0 2007 1 0 5 0 6 21 0 0 2007 1 1 5 0 8 25 0 0 2007 1 1 5 0 . 24 0 0 2007 1 1 5 0 . 26 0 0 2007 1 1 5 0 1 25 0 1 2007 1 1 5 0 3 22 1 1 2007 0 1 5 0 0 18 0 1 2007 0 1 5 0 42 24 0 0 2007 0 1 5 0 . 30 0 0 2007 1 1 5 0 42 28 0 0 2007 1 0 5 0 . 39 1 1 2007 1 1 5 0 6 25 0 0 2007 1 1 5 0 . 27 0 0 2007 0 0 5 0 . 20 0 0 2007 . 0 5 1 105 19 1 1 2007 0 1 5 0 . 27 0 0 2007 0 1 5 0 . 23 0 0 2007 0 1 5 0 12 23 0 0 2007 1 1 5 0 . 29 0 0 2007 0 1 5 0 . 31 0 0 2007 1 0 5 0 4 27 0 0 2007 0 1 5 0 10 18 0 0 2007 0 1 5 0 8 27 0 0 2007 0 1 5 0 12 25 1 1 2007 0 0 5 0 1 20 0 0 2007 1 1 5 0 60 22 0 0 2007 0 0 5 0 21 26 0 0 2007 1 0 5 1 . 18 0 0 2007 1 1 5 1 18 30 0 0 2007 1 1 5 0 . 35 0 0 2007 1 1 5 0 30 . 0 0 2007 0 1 5 0 40 30 0 0 2007 0 0 5 0 4 25 0 0 2007 0 1 5 0 . 22 0 0 2007 0 1 5 0 . 25 1 1 2007 0 1 5 0 10 24 1 1 2007 1 0 5 0 20 23 0 0 2007 1 0 5 1 4 24 0 0 2007 1 1 5 0 2 23 0 0 2007 0 0 5 0 8 24 0 0 2007 1 1 5 0 . 23 0 0 2007 1 1 5 0 . 31 1 1 2007 0 1 5 1 . 29 1 1 2007 1 1 5 0 9 . 0 0 2007 0 1 5 1 1 29 1 1 2007 1 1 5 0 . 20 0 0 2007 0 1 5 1 40 22 1 1 2007 0 0 5 0 . 37 1 1 2007 0 0 5 0 . 27 0 0 2007 0 1 5 0 60 25 0 0 2007 0 1 5 1 . 40 0 0 2007 1 1 5 0 . 23 0 0 2007 0 1 5 1 . . 0 0 2007 0 1 5 0 . 35 1 1 2007 0 1 5 1 60 21 0 0 2007 0 1 5 1 60 22 0 0 2007 0 0 5 0 . 26 0 0 2007 0 0 5 0 . 26 0 0 2007 0 1 5 1 40 23 0 0 2007 0 1 5 1 . 35 1 1 2007 1 1 5 0 12 32 0 0 2007 0 0 5 0 6 33 0 0 2007 0 0 5 0 . 21 0 0 2007 0 1 5 0 60 24 0 0 2007 0 1 5 0 . 31 1 1 2007 0 1 5 0 . 23 1 1 2007 0 1 5 0 2 36 1 1 2007 0 1 5 0 16 26 0 0 2007 0 0 5 1 . 19 0 0 2007 . 1 5 0 . 37 0 0 2007 0 1 5 1 4 20 0 0 2007 0 1 5 0 . 22 0 0 2007 1 1 5 0 . 43 1 1 2007 0 1 5 0 . 19 0 0 2007 1 1 5 1 16 24 0 0 2007 0 0 5 0 . 35 1 1 2007 1 0 5 0 . 29 0 0 2007 . 1 5 0 . 31 1 1 2007 . 1 5 0 . 20 1 1 2007 0 1 5 0 . 31 1 1 2007 1 1 5 0 . 35 0 0 2007 1 1 5 0 60 30 0 0 2007 0 0 5 0 . 30 1 1 2007 0 1 5 0 . 24 0 0 2007 0 1 5 0 4 44 0 0 2007 1 0 5 1 . 27 0 0 2007 0 1 5 0 4 25 0 . 2007 0 0 5 0 . 30 . . 2007 0 1 5 0 30 20 0 0 2007 0 1 5 1 . 26 0 0 2007 1 1 5 0 . 30 0 0 2007 1 1 5 0 . 31 0 0 2007 1 1 5 0 . 29 0 0 2007 1 0 5 1 4 30 0 0 2007 0 1 5 0 . 27 0 0 2007 0 1 5 0 . 25 0 0 2007 0 1 5 1 . 25 0 0 2007 0 0 5 0 . 25 1 1 2007 0 1 5 0 . 25 0 1 2007 0 1 5 1 . 25 1 1 2007 0 1 5 0 . 30 0 0 2007 1 1 5 0 . 35 1 1 2007 0 0 5 0 . 41 1 1 2007 1 0 5 0 . 24 0 0 2007 0 1 5 1 . 24 1 1 2007 1 0 5 0 . 29 0 0 2007 1 0 5 0 . 31 0 0 2007 0 1 5 0 . 32 . . 2007 0 1 5 0 . 30 0 0 2007 0 1 5 0 1 24 0 0 2007 1 1 5 1 8 19 1 1 2007 0 0 5 0 . 24 1 1 2007 0 1 5 0 . 34 0 0 2007 . 1 5 0 . 32 0 0 2007 0 1 5 0 . 46 1 1 2007 0 1 5 1 . . 0 0 2007 1 1 5 0 . 32 0 0 2007 1 1 5 0 . 31 0 0 2007 1 0 5 1 2 25 0 0 2007 1 0 5 0 . 28 1 1 2007 0 1 5 0 . 27 0 0 2007 0 0 5 0 . 25 0 . 2007 1 1 2 0 . 26 1 1 2007 1 1 5 0 . 32 1 1 2007 0 1 5 0 4 31 0 0 2007 1 1 5 0 . 19 0 0 2007 1 1 5 0 8 33 0 0 2007 1 1 5 0 . 27 0 0 2007 0 1 5 0 4 26 1 1 2007 0 1 5 0 . 33 0 0 2007 0 1 5 0 1 32 1 1 2007 0 0 5 0 . . 0 0 2007 0 1 5 0 . 39 0 0 2007 0 0 3 0 . 26 1 1 2007 1 1 3 0 . 15 1 1 2007 1 1 3 0 . . 0 0 2007 1 0 3 0 . 30 0 0 2007 1 0 3 1 18 31 1 1 2007 0 0 2 0 . 27 0 0 2007 1 1 2 0 . 32 1 1 2007 1 0 3 0 . 33 0 0 2007 0 1 3 1 45 21 0 0 2007 1 0 3 0 . 20 0 0 2007 1 1 3 0 . 27 0 1 2007 0 1 3 0 . 34 1 1 2007 0 1 3 0 . 26 0 0 2007 0 0 3 0 . 25 0 0 2007 0 0 3 1 . 24 0 0 2007 0 1 3 0 . 22 0 0 2007 1 1 3 1 . 38 0 0 2007 0 0 3 1 . 22 1 1 2007 0 1 3 1 . 19 1 1 2007 1 0 1 1 4 26 0 0 2007 0 0 3 0 . 33 1 1 2007 1 1 3 0 . . 0 0 2007 0 1 3 0 . 21 0 0 2007 1 1 3 0 180 23 1 1 2007 0 0 3 0 8 25 1 1 2007 1 0 3 0 . 37 0 0 2007 0 1 3 0 3 29 1 1 2007 0 0 3 0 8 30 0 0 2007 0 1 3 0 . 27 0 0 2007 1 1 3 1 . 62 1 1 2007 1 1 3 0 . 41 0 0 2007 0 1 3 0 . 21 0 0 2007 0 1 3 0 4 32 0 0 2007 0 0 3 0 . 40 1 1 2007 0 1 3 0 . . 0 0 2007 1 1 3 1 . 28 1 1 2007 1 0 3 1 . 24 0 0 2007 1 1 3 0 . 24 1 1 2007 0 1 3 0 . 24 0 0 2007 0 0 3 0 . 25 0 0 2007 1 1 3 0 6 20 0 0 2007 1 1 2 0 . 23 0 0 2007 . 1 3 0 . 22 0 0 2007 1 0 3 0 . 44 1 1 2007 0 1 3 0 . 39 1 1 2007 1 1 3 1 . 22 0 0 2007 0 1 3 1 120 30 0 0 2007 1 1 3 0 . 21 1 1 2007 0 1 3 0 . 29 0 0 2007 1 1 3 0 . 22 0 0 2007 0 0 3 0 1 26 0 0 2007 1 1 3 0 . 34 0 0 2007 1 1 3 0 2 27 0 0 2007 0 1 3 0 5 17 0 0 2007 1 1 3 1 . 27 0 0 2007 1 1 3 0 . 20 0 0 2007 1 1 3 1 . 29 0 0 2007 0 0 3 0 . . 0 0 2007 1 1 3 0 32 28 0 0 2007 1 1 3 0 4 22 0 0 2007 0 1 3 0 . 23 0 0 2007 1 1 3 1 . 26 1 1 2007 1 1 3 0 0 21 0 0 2007 1 1 3 0 . 23 0 0 2007 1 1 3 0 . 19 1 1 2007 0 1 3 0 . 25 0 0 2007 0 0 3 0 . 39 1 1 2007 1 1 3 1 160 29 0 0 2007 1 0 1 0 . 36 0 0 2007 1 0 3 0 . 23 1 1 2007 0 1 3 0 . 23 0 0 2007 0 1 1 0 9 25 0 0 2007 1 0 1 0 . 26 0 0 2007 0 0 2 0 . 33 1 1 2007 0 1 2 0 . 24 0 0 2007 0 0 2 0 4 27 0 0 2007 0 0 2 0 . 43 0 0 2007 0 1 2 0 . 18 1 1 2007 1 1 2 0 4 36 1 1 2007 0 0 2 0 . 32 1 1 2007 0 1 3 0 . 35 1 1 2007 1 0 3 1 . . 1 1 2007 1 1 3 1 . 37 0 0 2007 0 1 3 0 2 36 0 0 2007 1 0 3 0 . 22 0 0 2007 1 1 3 1 . 34 0 0 2007 1 1 3 1 . 38 1 1 2007 0 1 2 1 . 27 0 0 2007 1 0 2 0 . 28 0 0 2007 0 1 2 1 . 23 0 0 2007 1 1 2 1 4 33 1 1 2007 0 0 3 1 18 18 0 0 2007 . 1 3 0 . 23 0 0 2007 1 0 3 1 . 40 1 1 2007 1 1 3 0 . 30 1 1 2007 0 1 3 0 10 27 0 0 2007 1 0 3 0 4 23 0 0 2007 1 0 3 0 . 28 0 0 2007 1 1 3 1 50 28 1 1 2007 0 0 2 1 . 24 1 1 2007 1 1 2 0 . 38 0 0 2007 1 0 2 0 . 30 1 1 2007 0 1 2 0 4 22 1 1 2007 0 1 3 0 . 31 0 0 2007 1 0 3 0 1 26 0 0 2007 . 0 3 0 . 22 0 0 2007 0 1 3 0 24 38 0 0 2007 1 0 3 1 25 22 1 1 2007 0 0 end label values mscode metroarea label def metroarea 1 "center city of MSA", modify label def metroarea 2 "outside center city but inside county w/ center city", modify label def metroarea 3 "inside suburban county of MSA", modify label def metroarea 5 "not in MSA", modify label values actlim2 yesnobinary label values disabilitya yesnobinary label def yesnobinary 0 "no", modify label def yesnobinary 1 "yes", modify label values primeage2 page2 label def page2 0 "oldage", modify label def page2 1 "primeage", modify label values gender gender label def gender 0 "male", modify label def gender 1 "female", modify
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