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Forum: Wealth Index
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Topic: Can't find variables
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| Re: Can't find variables [message #29091 is a reply to message #26649] |
Tue, 23 April 2024 05:40 |
tenhornet
Messages: 1
Registered: April 2024
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Member |
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mari.gh8083 wrote on Thu, 13 April 2023 00:06Hi, I am using the 2019 determinants of child obesity and overweight among under five children in Sierra Leone data set. However, I am having trouble finding the following variables of interests in the data set: maternal age, wealth index, handwashing observed, and birth registration of children under 5. Does anyone have any insight into these dataset variables.
• Maternal age: The HH file includes details on every person living in the home, including all women who have given birth within the past two years, regardless of their age (1549). The woman's age when the interview was conducted is the variable referred to as HW1. By dividing the child's age in months (HC1) by the woman's age in years (HW1) and then multiplying by 12, you may find the woman's age at the time of the child's birth using this variable. Another option is to access data on all women in the WM file who are between the ages of 15 and 49 and who are not pregnant or have children by using the variable WM1. There is a female interviewee whose age is represented by the variable WM1. By deducting the age at first birth (WM9) from the current age (WM1), you may determine the woman's age at the time of the first child's birth using this variable.
• Wealth index: All members of the household's information can be found in the HH file. A composite assessment of a household's living standard, the variable is named HV270. Household assets, including consumer goods ownership, housing characteristics, and access to essential services, are used in the wealth index calculation through principal component analysis. There are five quintiles in the wealth index: lowest, middle, highest, and poorest. Using this variable, you may compare homes based on their socioeconomic position and look at how affluence affects the health of children.
• Observed handwashing: The HL file includes details on everyone who slept in the house the night prior to the interview, including visitors. This information can be accessed using this variable. A binary variable called HL9 shows whether the interviewer noticed a handwashing station in the residence or compound. Any designated area with running water, soap, or some kind of hand cleaner is considered a handwashing station. You can gauge people's cleanliness habits and the ease with which they can wash their hands by looking at this variable.
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Forum: Sampling
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Topic: Sampling
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| Re: Sampling [message #29093 is a reply to message #29082] |
Tue, 23 April 2024 07:55 |
Bridgette-DHS
Messages: 3038
Registered: February 2013
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Senior Member |
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Following is a response from Senior DHS staff member, Tom Pullum:
The level of the Mean Relative Error varies from one indicator to another. DHS surveys are generally designed to have acceptable levels of MRE for strata, which are usually combinations of urban/rural residence crossed with the first admin level, or regions. Just a few surveys are designed for acceptable estimates at level 2, or districts. We recommend that you calculate confidence intervals for estimates, including adjustments for the survey design, and make your own judgement about acceptability, rather than using some arbitrary cutoff such as 20%.
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Forum: General
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Topic: MERGING IR AND HR FILE
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| Re: MERGING IR AND HR FILE [message #29095 is a reply to message #29066] |
Tue, 23 April 2024 13:52 |
Janet-DHS
Messages: 697
Registered: April 2022
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Senior Member |
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Following is a response from DHS staff member, Tom Pullum:
Here is a Stata program to merge the PR and IR files. It differs only slightly from the one to merge the HR and PR files.
* Specify a workspace
cd e:\DHS\DHS_data\scratch
* Prepare the PR file; keep only the household-level variables
use "...IAPR7EFL.DTA", clear
* Reduce to eligible women
keep if hv117==1
gen cluster=hv001
gen hh=hv002
gen line=hvidx
save PRtemp.dta, replace
use "...IAIR7EFL.DTA", clear
gen cluster=v001
gen hh=v002
gen line=v003
merge 1:1 cluster hh line using PRtemp.dta
* Some women were eligible but were not interviewed (nonresponse cases); drop them
tab _merge
keep if _merge==3
drop _merge |
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Forum: Child Health
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Topic: Child vaccination
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| Re: Child vaccination [message #29096 is a reply to message #29065] |
Tue, 23 April 2024 13:52 |
Janet-DHS
Messages: 697
Registered: April 2022
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Senior Member |
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Following is a response from DHS staff member, Tom Pullum:
If you specify svyset before an estimation command (such as mlogit) and then put "svy: " at the beginning of the estimation command (for example, "svy: mlogit..."), you do not have to re-specify svyset for the next estimation. The specification of svyset lasts until it is changed. The current svyset specification will be included in the save, if you save the dta file, which may or may not be a good thing.
Hope you know that "svyset linearized" would not be correct. You want something more like "svyset v001 [pweight=v005], strata(v022) singleunit(centered)". You could add "vce(linear)" after the comma but it's usually not necessary.
Your command, as given, will produce (if It even runs) a huge number of coefficients that will be difficult to interpret. I would recommend that you first try simpler models with just one or two covariates as a time.
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Forum: Domestic Violence
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Topic: 2016 disability, partner behaviors, and intimate partner violence report
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| Re: 2016 disability, partner behaviors, and intimate partner violence report [message #29094 is a reply to message #23618] |
Tue, 23 April 2024 13:03 |
sam_19
Messages: 1
Registered: April 2023
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Member |
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Dear Sir
I was trying a similar analysis using Indian DHS (NFHS-5). I merged the PR file with the IR file and kept only women interviewed in the domestic module. The variable sh31 asked, "Does any member of this household, including you, have any disability?". So, i am confused how to know whether the women interviewed is disable or any other member of household? Can looking at line number of respondent and disable person work or something else should done here.
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Topic: IPV InTANZANIA 2022
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| Re: IPV InTANZANIA 2022 [message #29097 is a reply to message #29045] |
Tue, 23 April 2024 13:53 |
Janet-DHS
Messages: 697
Registered: April 2022
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Senior Member |
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Following is a response from DHS staff member, Tom Pullum:
Your question goes beyond the scope of the user forum. We can only say that the relevant variables are the ones in the IR file that begin with "d" and recommend that you look at publications based on earlier DHS surveys in Tanzania or elsewhere. The DV or IPV questions are widely used. The construction of tables and indicators is given on our GitHub side (https://github.com/DHSProgram/DHS-Indicators-Stata) for the generic chapter 17.
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Forum: Kenya
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Topic: Birth's Recode Dataset
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| Birth's Recode Dataset [message #29085] |
Tue, 23 April 2024 01:43 |
NarutoLpn
Messages: 2
Registered: April 2024
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Member |
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Kenya - DHS Survey - 2022 - Birth's Recode (KEBR8BDT)
I was wondering whether anyone could refer me to the documentation of the following employment-related variables (v704, v705) in the Birth's Recode dataset. I wasn't able to find documentation on how to interpret the encoding (i.e. what does the 1 or 2 or 9 stand for).
Thank you very much. Have a good day!
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| Re: Birth's Recode Dataset [message #29092 is a reply to message #29085] |
Tue, 23 April 2024 06:10 |
Bridgette-DHS
Messages: 3038
Registered: February 2013
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Senior Member |
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The value labels are in the data. You can open the file with ".map" extension in any text editor and use this as your codebook (see v705 below).
V705 Husband/partner's occupation (grouped)
0 Did not work
1 Professional/technical/managerial
2 Clerical
3 Sales
4 Agricultural - self employed
5 Agricultural - employee
6 Household and domestic
7 Services
8 Skilled manual
9 Unskilled manual
98 Don't know
(m) 99 Missing
[Updated on: Tue, 23 April 2024 06:20] Report message to a moderator |
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