gen DHSwt = v005 / 1000000

************************************************************************
* Stage B *** Approximate Levels-weight ***
************************************************************************
* Steps to approximate Level-1 and Level-2 weights from Household or Individual Weights
*Step 1. De-normalize the final weight, using approximated normalization factor 
gen d_HH = DHSwt * (M/m_c)
gen dv_HH = (d005/1000000) * (M/m_c)

*Step 2. Approximate the Level-2 weight
* f the variation factor
gen f = d_HH / ((A_h/a_c_h) * (M_h/S_h))

* Calculating the levels-weight based on different values of alpha
local alphas 0 0.1 .25 .50 .75 0.90 1
local i = 1

foreach dom of local alphas{       
gen wt2_`i' = (A_h/a_c_h)*(f^`dom')
gen wt1_`i' = d_HH/wt2_`i'
gen d1_`i' = dv_HH/wt2_`i'
local ++i
}

svyset v001, weight(wt2_2) strata(v022) , singleunit(centered) || _n, weight(d1_5)
svy: melogit cumodern age secondary urban i.children || v001:
estimates store model2