[x] w_married : Marrital Status - 1 if woman and mother currently married or living in union, 0 otherwise [MICS6 4 sexual health]
v501 in DHS, have it for both women and child level observations
DW : DHS coded in 4_sexual_health; data from ind.
originally coded using v502, checked v501 and v502 for consistency; kept original code.
[x] c_vaczero - Child did not receive any vaccination [MICS6 Vaccination]
Child did not receive any vaccinations: gen c_vaczero = (c_measles == 0 & c_polio1 == 0 & c_polio2 == 0 & c_polio3 == 0 & c_bcg == 0 & c_dtp1 == 0 & c_dtp2 == 0 & c_dtp3 == 0) ; forvar c_measles c_polio1 c_polio2 c_polio3 c_bcg c_dtp1 c_dtp2 c_dtp3: replace c_vaczero = . if X == . ; label var c_vaczero “1 if child did not receive any vaccinations”
DW : DHS coded in 7_child_vaccination
[x] c_motherln : the line number of the mother for each kid [MICS6 9 child anthro]
DW: DHS , hv112 in hm data; implemented in 9_child_anthropometrics
[x] c_stu_was & c_stu_was_sev
DW: DHS implemented in 9_child_anthropometrics
[x] c_wfa : Weight-for-age z-score from survey (original variable) [MICS6 9 child anthropo]
rename hc71 to c_wfa
[x] c_hfa: Height-for-age z-score from survey (original variable) [MICS6 9 child anthropo]
rename hc70 to c_hfa
Let’s include the weight-for-age and height-for-age z-scores from MICS and call these variables c_wfa and c_hfa (and rename hc70 and hc71 in the DHS datasets accordingly). Let’s also add the weight-for-height scores from both surveys, naming them c_wfh.
DW: rename actions undertaken in Master file directly before quality control
use hc72 from hm data, edited in 9_child_anthropometrics, renamed directly before quality control
[x] hm_birthorder : Birth order [MICS6 10 child mortality]
bord in DHS
DW: data in birth, implemented in 10_child_mortality
[x] c_magebrt : age of the mother at the child’s birth [MICS6 10 child mortality]
No indications or instructions for DHS...
DW: v212 age at first birth? v012 respondents' current age; child's age in months hw1; v012 in birth for respondent's current age
implemented in 10_child_mortality, based on hw1 and v012
[x] hh_religion : Religion of woman and mother (v130 in DHS woman and hc1a MICS household dataset) [MICS6 15 household]
have it for both women and children level observations
DW: for DHS, use birth data (also available in ind data, but a subset) v130 variable; implemented in 15_household, as birth data is merged into hm data prior to engaging 15_household.
[x] hh_watersource: Water source (hv201 in DHS HH dataset, already coded for MICS) [MICS6 20 hh sanitation]
DW: for DHS, data in hh, hv201; implemented in 15_household. As this is coded in hh, variable renamed as hh_watersource, double h
[x] hh_toilet: Toilet type (hv205 “”, already coded for MICS) [20 hh sanitation]
DW: for DHS, data in hh, hv205; implemented in 15_household. As this is coded in hh, variable renamed as hh_toilet, double h
[x] Labels [Lab_var.do]
[x] Master File keep statements and the like (just to make sure the edited vars are there in the final micro dataset)
[x] Need to update variable list after quality control section in master do file.
[x] w_married : Marrital Status - 1 if woman and mother currently married or living in union, 0 otherwise [MICS6 4 sexual health] v501 in DHS, have it for both women and child level observations
DW : DHS coded in 4_sexual_health; data from ind. originally coded using v502, checked v501 and v502 for consistency; kept original code.
[x] c_vaczero - Child did not receive any vaccination [MICS6 Vaccination] Child did not receive any vaccinations: gen c_vaczero = (c_measles == 0 & c_polio1 == 0 & c_polio2 == 0 & c_polio3 == 0 & c_bcg == 0 & c_dtp1 == 0 & c_dtp2 == 0 & c_dtp3 == 0) ; forvar c_measles c_polio1 c_polio2 c_polio3 c_bcg c_dtp1 c_dtp2 c_dtp3: replace c_vaczero = . if X == . ; label var c_vaczero “1 if child did not receive any vaccinations”
DW : DHS coded in 7_child_vaccination
[x] c_motherln : the line number of the mother for each kid [MICS6 9 child anthro]
DW: DHS , hv112 in hm data; implemented in 9_child_anthropometrics
[x] c_stu_was & c_stu_was_sev
DW: DHS implemented in 9_child_anthropometrics
[x] c_wfa : Weight-for-age z-score from survey (original variable) [MICS6 9 child anthropo] rename hc71 to c_wfa
[x] c_hfa: Height-for-age z-score from survey (original variable) [MICS6 9 child anthropo] rename hc70 to c_hfa
[x] c_wfh : Weight-for-hight z-score from survey (original variable) [MICS6 9 child anthropo]
Let’s include the weight-for-age and height-for-age z-scores from MICS and call these variables c_wfa and c_hfa (and rename hc70 and hc71 in the DHS datasets accordingly). Let’s also add the weight-for-height scores from both surveys, naming them c_wfh. DW: rename actions undertaken in Master file directly before quality control use hc72 from hm data, edited in 9_child_anthropometrics, renamed directly before quality control
[x] hm_birthorder : Birth order [MICS6 10 child mortality] bord in DHS
DW: data in birth, implemented in 10_child_mortality
[x] c_magebrt : age of the mother at the child’s birth [MICS6 10 child mortality] No indications or instructions for DHS...
DW: v212 age at first birth? v012 respondents' current age; child's age in months hw1; v012 in birth for respondent's current age
implemented in 10_child_mortality, based on hw1 and v012
[x] hh_religion : Religion of woman and mother (v130 in DHS woman and hc1a MICS household dataset) [MICS6 15 household] have it for both women and children level observations
DW: for DHS, use birth data (also available in ind data, but a subset) v130 variable; implemented in 15_household, as birth data is merged into hm data prior to engaging 15_household.
[x] hh_watersource: Water source (hv201 in DHS HH dataset, already coded for MICS) [MICS6 20 hh sanitation]
DW: for DHS, data in hh, hv201; implemented in 15_household. As this is coded in hh, variable renamed as hh_watersource, double h
[x] hh_toilet: Toilet type (hv205 “”, already coded for MICS) [20 hh sanitation]
DW: for DHS, data in hh, hv205; implemented in 15_household. As this is coded in hh, variable renamed as hh_toilet, double h
[x] Labels [Lab_var.do]
[x] Master File keep statements and the like (just to make sure the edited vars are there in the final micro dataset)
[x] Need to update variable list after quality control section in master do file.