Home » Data » Merging data files » Merging Children with Household
| Merging Children with Household [message #9348] |
Wed, 16 March 2016 20:34  |
befulina
Messages: 3
Registered: March 2016
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Hi,
I'm working with the 2012 Peru (continuous) data set and am having troubles merging the children's set with the household characteristics data. I want to apply the household characteristics to each child (and will use the child as the unit of analysis). This is my first time working with DHS data, and I am a novice Stata user (learning as I go).
Using advice from previous posts, I used V001 V002 V003 and b16 to attempt to uniquely identify the children. However, Stata informs me that "variables v001 v002 v003 hvidx do not uniquely identify observations in the master data". Below is my syntax for merging PR into the KR file.
use "C:\Users\Beth\Desktop\Peru Project\Data Files\PE_2012_ContinuousDHS_10092015_2126_84061\pepr6idt\PEP R6IFL.DTA ", clear
rename hv001 v001
rename hv002 v002
rename hv003 v003
sort v001 v002 v003 hvidx
save "C:\Users\Beth\Desktop\Peru Project\Data Files\PE_2012_ContinuousDHS_10092015_2126_84061\pepr6idt\PEP R6IFLTEMP1.DTA ", replace
use "C:\Users\Beth\Desktop\Peru Project\Data Files\PE_2012_ContinuousDHS_10092015_2126_84061\pekr6idt\PEK R6IFL.DTA ", clear
rename b16 hvidx
sort v001 v002 v003 hvidx
merge 1:1 v001 v002 v003 hvidx using "C:\Users\Beth\Desktop\Peru Project\Data Files\PE_2012_ContinuousDHS_10092015_2126_84061\pepr6idt\PEP R6IFLTEMP1.DTA "
I appreciate any insight into this!
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| Re: Merging Children with Household [message #9430 is a reply to message #9378] |
Sat, 26 March 2016 22:53  |
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user-rhs
Messages: 132
Registered: December 2013
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Senior Member |
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When you merge 2 datasets in Stata, Stata identifies one of the datasets as the "master" data and the other dataset as the "using" data. The master dataset is the one in memory, while the using dataset is the dataset that is identified in the -merge- command after 'using.'
If there are multiple observations in PEKR61FL.DTA with the same v001, v002, and b16 combination, you will get an error message after running
use PEKR6IFL.DTA, clear
sort v001 v002 b16
merge 1:1 v001 v002 b16 using PEPR6IFLTEMP1.DTA
because the merge command specified a 1:1 (one-to-one) merge, meaning: you are telling Stata that in both the master and using datasets, v001, v002, and b16 are unique identifiers. Obviously, the command will not work if v001, v002, and b16 do not uniquely identify observations in either or both datasets.
There was a slight typo/omission in the code Tom sent you below, which led to the error message. The merge using should be v001, v002, v003, and b16 instead of v001, v002, b16, since the child is identified via its cluster number (v001), household number (v002), mother's line number (v003), and finally its line number in the HH roster (b16). Try it with the correction and I'm sure it will work this time.
HTH,
rhs
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| Re: Merging Children with Household [message #9433 is a reply to message #9432] |
Sun, 27 March 2016 14:46 |
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user-rhs
Messages: 132
Registered: December 2013
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Senior Member |
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Befulina,
I stand corrected. You need to manually check the 26 duplicates and determine whether it makes sense to include them in the analysis. I noticed that some of the children don't have a line number in the HH roster, which probably means that they were dead at the time of interview (remember the birth hx questionnaire asks the woman of ALL births regardless of current vital status). I also saw that some children had "not listed in household" as the value for b16, which means that they belong to the woman being interviewed, but they do not live in the household with her. An example would be if the child lived with grandparents or if the woman was divorced/separated from the child's father and the child lives with him instead of her.
Here's a way to manually inspect the duplicates:
*Create a variable that flags duplicates using v001, v002, v003, b16
bysort v001 v002 v003 b16: gen count=_N /*_N is one of two built-in count variables in Stata that indicates the highest count within a group, in this case (v001 v002 v003 b16) */
*See how many are duplicates
tab count
*Visually inspect the duplicate records
sort b5 v001 v002 v003 b16
browse v001 v002 v003 b16 b5 b6 b8 if count>1
After you determine why the children don't have line numbers or are not listed in the HH roster, you can make a decision whether to include or exclude them. Remember that you can merge HH characteristics to the children without having their HH roster line number by merging using the HH unique identifier (v001 v002). If you're interested in all children born to a woman in the past 5 years, then it would be a good idea to include the dead children as well. If a child does not live with the mother, my inclination is that it would not make sense to link the mother's HH characteristics to the child, but again, that is your call to make.
HTH,
rhs
[Updated on: Sun, 27 March 2016 14:49] Report message to a moderator |
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| Re: Merging Children with Household [message #9440 is a reply to message #9348] |
Mon, 28 March 2016 14:58 |
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user-rhs
Messages: 132
Registered: December 2013
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Senior Member |
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It could be data entry error too. Six duplicate sets were children who were not listed in the HH roster, although 3 pairs were reported as living with the respondent (Table 1). Seven duplicate pairs were of deceased children--those are straightforward (Table 2). The remaining 13 multiples sets (11 duplicate pairs and 2 triplicate sets) seem highly suspicious (Table 3). For example, check out the first triplicate set (552 149 2 4). You have a 3 living children: a female born 3/2008, a male born 1/2008, and another male born 7/2009. All are singlets. It's highly unlikely to have a child born 1/2008 and another child born 2 months later on 2/2008 (again, both singlets), unless the children were adopted, incorrectly classified as single pregnancies instead of twins, or the woman has a rare condition (e.g. double uterus). Notice also that the MIDX was the same for the female born 3/2008 and the male born 7/2009.
Table 1. Children not listed in household (b16=0)
bysort b5: list v001 v002 v003 b16 b0 b1 b2 b4 b5 b9 midx if count>1 &b16 ==0, sepby(v001 v002 v003) noobs
-> b5 = No
-> b5 = Yes
+-------------------------------------------------------------------------------------------------------------+
| v001 v002 v003 b16 b0 b1 b2 b4 b5 b9 midx |
|-------------------------------------------------------------------------------------------------------------|
| 21 33 2 Not listed in household 1st of multiple 7 2007 Female Yes Lives elsewhere 3 |
| 21 33 2 Not listed in household 2nd of multiple 7 2007 Female Yes Lives elsewhere 2 |
|-------------------------------------------------------------------------------------------------------------|
| 59 40 2 Not listed in household 1st of multiple 3 2012 Male Yes Respondent 2 |
| 59 40 2 Not listed in household 2nd of multiple 3 2012 Male Yes Respondent 1 |
|-------------------------------------------------------------------------------------------------------------|
| 132 14 7 Not listed in household Single birth 6 2008 Male Yes Respondent 3 |
| 132 14 7 Not listed in household Single birth 1 2010 Female Yes Respondent 2 |
|-------------------------------------------------------------------------------------------------------------|
| 447 26 4 Not listed in household 1st of multiple 5 2010 Male Yes Respondent 2 |
| 447 26 4 Not listed in household 2nd of multiple 5 2010 Male Yes Respondent 1 |
|-------------------------------------------------------------------------------------------------------------|
| 478 2 2 Not listed in household Single birth 7 2010 Male Yes Lives elsewhere 2 |
| 478 2 2 Not listed in household Single birth 11 2011 Male Yes Lives elsewhere 1 |
|-------------------------------------------------------------------------------------------------------------|
| 604 73 2 Not listed in household Single birth 4 2008 Female Yes Lives elsewhere 2 |
| 604 73 2 Not listed in household Single birth 11 2009 Male Yes Lives elsewhere 1 |
+-------------------------------------------------------------------------------------------------------------+
Table 2. Deceased children
. bysort b5: list v001 v002 v003 b16 b0 b1 b2 b4 b5 b9 midx if count>1 &b16 !=0, sepby(v001 v002 v003) noobs
-> b5 = No
+----------------------------------------------------------------------------------+
| v001 v002 v003 b16 b0 b1 b2 b4 b5 b9 midx |
|----------------------------------------------------------------------------------|
| 150 23 2 . 1st of multiple 10 2009 Female No . 2 |
| 150 23 2 . 2nd of multiple 10 2009 Female No . 1 |
|----------------------------------------------------------------------------------|
| 269 1 2 . Single birth 5 2007 Female No . 2 |
| 269 1 2 . Single birth 4 2009 Female No . 1 |
|----------------------------------------------------------------------------------|
| 595 44 1 . 1st of multiple 11 2007 Female No . 2 |
| 595 44 1 . 2nd of multiple 11 2007 Female No . 1 |
|----------------------------------------------------------------------------------|
| 613 42 2 . 1st of multiple 10 2011 Male No . 2 |
| 613 42 2 . 2nd of multiple 10 2011 Male No . 1 |
|----------------------------------------------------------------------------------|
| 712 32 2 . 1st of multiple 11 2007 Male No . 3 |
| 712 32 2 . 2nd of multiple 11 2007 Male No . 2 |
|----------------------------------------------------------------------------------|
| 714 44 2 . Single birth 5 2011 Male No . 1 |
| 714 44 2 . Single birth 12 2009 Female No . 2 |
|----------------------------------------------------------------------------------|
| 841 94 4 . Single birth 8 2011 Male No . 2 |
| 841 94 4 . Single birth 8 2012 Female No . 1 |
+----------------------------------------------------------------------------------+
Table 3. Children in household (b16 !=0), with different DOB but same line numbers
-> b5 = Yes
+----------------------------------------------------------------------------------------+
| v001 v002 v003 b16 b0 b1 b2 b4 b5 b9 midx |
|----------------------------------------------------------------------------------------|
| 256 31 2 3 Single birth 11 2009 Male Yes Respondent 1 |
| 256 31 2 3 Single birth 4 2008 Male Yes Respondent 1 |
|----------------------------------------------------------------------------------------|
| 338 44 2 4 Single birth 10 2009 Female Yes Respondent 1 |
| 338 44 2 4 Single birth 12 2008 Male Yes Respondent 1 |
|----------------------------------------------------------------------------------------|
| 345 57 2 4 Single birth 5 2010 Male Yes Respondent 1 |
| 345 57 2 4 Single birth 6 2009 Male Yes Respondent 1 |
|----------------------------------------------------------------------------------------|
| 552 149 2 4 Single birth 3 2008 Female Yes Respondent 1 |
| 552 149 2 4 Single birth 1 2008 Male Yes Respondent 2 |
| 552 149 2 4 Single birth 7 2009 Male Yes Respondent 1 |
|----------------------------------------------------------------------------------------|
| 570 92 2 3 Single birth 7 2008 Male Yes Respondent 2 |
| 570 92 2 3 Single birth 11 2009 Male Yes Respondent 1 |
|----------------------------------------------------------------------------------------|
| 752 14 2 4 Single birth 7 2011 Female Yes Respondent 1 |
| 752 14 2 4 Single birth 12 2008 Male Yes Respondent 1 |
| 752 14 2 4 Single birth 8 2009 Male Yes Respondent 1 |
|----------------------------------------------------------------------------------------|
| 1156 42 2 4 Single birth 11 2011 Male Yes Respondent 1 |
| 1156 42 2 4 Single birth 12 2010 Male Yes Respondent 1 |
|----------------------------------------------------------------------------------------|
| 1164 60 2 3 Single birth 3 2011 Male Yes Respondent 1 |
| 1164 60 2 3 Single birth 12 2011 Female Yes Respondent 1 |
|----------------------------------------------------------------------------------------|
| 1263 132 2 3 Single birth 1 2012 Female Yes Respondent 1 |
| 1263 132 2 3 Single birth 11 2008 Female Yes Respondent 1 |
|----------------------------------------------------------------------------------------|
| 1268 128 2 3 Single birth 6 2009 Female Yes Respondent 1 |
| 1268 128 2 3 Single birth 2 2010 Female Yes Respondent 1 |
|----------------------------------------------------------------------------------------|
| 1273 149 2 4 Single birth 2 2010 Male Yes Respondent 2 |
| 1273 149 2 4 Single birth 6 2008 Male Yes Respondent 1 |
| 1273 149 2 4 Single birth 9 2009 Female Yes Respondent 1 |
|----------------------------------------------------------------------------------------|
| 1315 174 2 3 Single birth 1 2010 Female Yes Respondent 1 |
| 1315 174 2 3 Single birth 7 2008 Female Yes Respondent 2 |
|----------------------------------------------------------------------------------------|
| 1374 26 2 5 Single birth 5 2010 Female Yes Respondent 1 |
| 1374 26 2 5 Single birth 10 2009 Female Yes Respondent 1 |
+----------------------------------------------------------------------------------------+
[Updated on: Tue, 29 March 2016 16:54] Report message to a moderator |
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| Re: Merging Children with Household [message #9470 is a reply to message #9440] |
Wed, 30 March 2016 12:26 |
Bridgette-DHS
Messages: 3035
Registered: February 2013
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Senior Member |
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Additional Comments from Tom Pullum:
I have found that in this survey there are sometimes sub-households. The sub-household codes are not given by a variable but must be extracted as the 9th character in hhid and caseid. The following Stata lines will do the merge. At some points I do "tab subhh" and "tab b8" but those lines are only for checking. They are not needed for the merge. Let me know if there are still any problems.
use e:\DHS\DHS_data\PR_files\PEPR6IFL.DTA, clear
gen str2 subhh=substr(hhid,9,1)
destring subhh, replace
tab subhh,m
sort hv001 hv002 subhh hvidx
save e:\DHS\DHS_data\scratch\PEPR6IFLTEMP1.DTA, replace
use e:\DHS\DHS_data\KR_files\PEKR6IFL.DTA, clear
gen str2 subhh=substr(caseid,9,1)
destring subhh, replace
tab subhh,m
tab b8
drop if b16==0 | b16==.
rename v001 hv001
rename v002 hv002
rename b16 hvidx
sort hv001 hv002 subhh hvidx
merge 1:1 hv001 hv002 subhh hvidx using e:\DHS\DHS_data\scratch\PEPR6IFLTEMP1.DTA
tab b8 _merge,m
keep if _merge==3
drop _merge
tab b8
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