I'm using Stata 16 and I'm trying to decompose my concentration index using the following independent variables: equivalised_income, race, gender, geo educ_m (mother education), empl_m (mother employment), wt_m (mother weight). I get an error message saying that my varlist is not allowed, with code r(101). Obese is a binary variable
My commands are as follows
Code:
conindex obese [aweight=wt], rankvar(wquintile) wagstaff bounded limits (1 2)
Global X is as follows;
Code:
global X quintile feedingscheme race gender geo educ_m empl_m wt_m qui regr obese $X [pw=wt] sum obese [aw=wt] sca m_obese=r(mean)
Then when i try the below I get the error message that says varlist not allowed
Code:
foreach x of global X { qui { sca b_`x’ = _b[`x’] corr rank `x’ [pw=wt], c sca cov_`x’ = r(cov_12) sum `x’ [aw=wt] sca elas_`x’ = (b_`x’*r(mean))/m_obese sca CI_`x’ = 2*cov_`x’/r(mean) sca con_`x’ = elas_`x’*CI_`x’ sca prcnt_`x’ = con_`x’/CI } di “`x’ elasticity:”, elas_`x’ di “`x’ concentration index:”, CI_`x’ di “`x’ contribution:”, con_`x’ di “`x’ percentage contribution:”, prcnt_`x’ }
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input float(equivalized_income feedingscheme) byte(race gender geo) float(empl_m educ_m wt_m) 1035.9819 . 2 2 1 . . . 254.44856 . 2 1 1 . . . 254.44856 . 2 2 1 . . . 254.44856 2 2 2 1 1 1 2 254.44856 2 2 2 1 1 1 2 546.3166 . 2 1 1 . . . 546.3166 . 2 2 1 . . . 546.3166 . 2 1 1 . . . 202.3135 . 2 2 1 . . . 202.3135 2 2 1 1 1 1 2 933.5438 . 2 2 1 . . . 117.27608 . 2 1 1 . . . 117.27608 . 2 1 1 . . . 740.8214 . 2 2 1 . . . 740.8214 . 2 1 1 2 1 3 740.8214 2 2 2 1 2 1 3 740.8214 2 2 2 1 2 1 3 547.75574 . 2 2 1 . . . 547.75574 1 2 2 1 2 1 3 547.75574 2 2 1 1 2 1 3 547.75574 2 2 2 1 . . . 547.75574 . 2 1 1 . . . 940.7536 . 2 1 1 . . . 940.7536 2 2 2 1 . . . 940.7536 2 2 1 1 . . . 940.7536 2 2 2 1 . . . 940.7536 . 2 2 1 . . . 940.7536 2 2 2 1 . . . 965.0203 . 2 1 1 1 1 4 965.0203 . 2 2 1 . . . 965.0203 . 2 2 1 . . . 965.0203 2 2 1 1 2 1 2 965.0203 2 2 2 1 2 1 2 965.0203 . 2 2 1 2 1 2 965.0203 . 2 1 1 2 1 2 126.10336 2 2 1 1 . . . 126.10336 2 2 1 1 . . . 126.10336 . 2 1 1 . . . 126.10336 2 2 1 1 . . . 300.64355 . 2 2 1 . . . 300.64355 . 2 2 1 . . . 300.64355 . 2 2 1 . . . 300.64355 2 2 2 1 1 1 4 300.64355 . 2 1 1 . . . 300.64355 . 2 1 1 . . . 300.64355 2 2 1 1 . . . 300.64355 2 2 1 1 1 1 4 300.64355 2 2 2 1 1 1 2 300.64355 2 2 2 1 1 1 4 300.64355 2 2 1 1 . . . 299.02875 2 2 1 1 . . . 299.02875 1 2 2 1 . . . 299.02875 . 2 1 1 . . . 299.02875 1 2 2 1 . . . 299.02875 2 2 2 1 . . . 299.02875 . 2 2 1 . . . 299.02875 . 2 1 1 . . . 299.02875 2 2 2 1 . . . 299.02875 2 2 1 1 . . . 299.02875 . 2 1 1 . . . 299.02875 . 2 1 1 . . . 299.02875 . 2 2 1 . . . 299.02875 . 2 1 1 . . . 299.02875 . 2 1 1 1 2 2 420.0078 . 2 2 1 . . . 420.0078 . 2 1 1 . . . 420.0078 . 2 2 1 1 1 2 706.9612 . 2 2 1 . . . 706.9612 . 2 2 1 1 2 2 706.9612 2 2 2 1 1 2 2 706.9612 2 2 1 1 1 2 2 412.6564 . 2 1 1 1 1 1 412.6564 . 2 2 1 . . . 412.6564 . 2 2 1 . . . 721.2489 2 2 1 1 2 1 4 721.2489 1 2 2 1 2 1 4 721.2489 . 2 2 1 2 1 4 721.2489 . 2 2 1 . . . 721.2489 2 2 2 1 2 1 4 721.2489 . 2 1 1 1 3 3 721.2489 2 2 2 1 2 1 4 742.3904 . 2 2 1 1 1 4 742.3904 . 2 2 1 1 1 4 742.3904 . 2 2 1 . . . 742.3904 . 2 2 1 1 2 3 742.3904 2 2 1 1 1 2 3 742.3904 . 2 2 1 1 2 4 742.3904 1 2 2 1 1 2 4 424.4521 . 2 2 1 1 1 4 424.4521 . 2 1 1 . . . 424.4521 1 2 2 1 1 1 4 424.4521 . 2 2 1 . . . 424.4521 . 2 2 1 1 2 3 424.4521 . 2 2 1 1 2 3 424.4521 2 2 1 1 1 1 4 424.4521 2 2 2 1 1 1 4 424.4521 2 2 2 1 1 1 4 424.4521 . 2 1 1 1 1 4 277.2007 . 2 2 1 . . . 277.2007 1 2 1 1 1 2 3 end label values feedingscheme feedingscheme5 label def feedingscheme5 1 "nfscheme", modify label def feedingscheme5 2 "fscheme", modify label values race race5 label def race5 2 "African", modify label values gender gender5 label def gender5 1 "Male", modify label def gender5 2 "Female", modify label values geo geo5 label def geo5 1 "Rural", modify
Please advise.
Regards
Nthato
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