Identifying Childhood Place of Residence / Place of Birth [message #20321] |
Thu, 22 October 2020 12:52 |
adarsh27
Messages: 1 Registered: October 2020
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Member |
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Hi all,
I am trying to identify the place of birth/child place of residence for Indian women in the 2015-16 (or even the previous) NHFS dataset. The broad objective is to study the extent to which women have moved between childhood and adulthood due to marriage. So, ideally, I would have their present location/residence and their childhood residence or at least the location of their birth.
I notice that there might be a couple of variables that could help me in this regard but I am noticing a couple of issues. These 2 variables are the Place of Residence (variable name/id 'hv026' in the 'RECH0' household basic data) and Childhood Place of Residence (variable name/id 'v103' in the 'REC11' respondent's basic data) dataset. For both these variables, the Data Description labels them as NA (i.e. "NA - Place of Residence" and "NA - Childhood Place of Residence" in this link: https://microdata.worldbank.org/index.php/catalog/2949/data- dictionary/F13?file_name=REC11). In fact, when I do download the 'IAIR74DT' dataset to see the values for Women's Childhood Place of Residence, it comes through as NA all across.
Does anyone know why these variables are listed as NA? Are they stored behind extra security that would require authorization/permission? If so, what's the procedure to get access to these variables?
More broadly, are there ways of concretely finding the women/respondent's place of birth/childhood place of residence (i.e. is it Mumbai, or a specific village in Bihar etc.)
Appreciate your help in advance!
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Re: Identifying Childhood Place of Residence / Place of Birth [message #20323 is a reply to message #20321] |
Thu, 22 October 2020 16:51 |
Bridgette-DHS
Messages: 3214 Registered: February 2013
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Following is a response from DHS Research & Data Analysis Director, Tom Pullum:
"NA" in the variable label means that the variable is part of the core questionnaire but was omitted from this survey. The decision to omit was made by the country (in this case, India). Such decisions are presumably based on whether the implementing agency or the technical advisory committee believes the responses would be both accurate and useful. If the data had been collected you would find them in the data files.
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