Support #88
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Description
Dear BHPS
I am using BHPS data (wave 13-18) and have some queries.
First, for the purpose of my study, I will only include people from Scotland.
Could I ask what is the variable that I should use to allow me to do this.
Second, I am wondering what are the weighting variables for Scotland population only (not Scotland+Welsh)?
Are there separate weighting variables for longitudinal data or pooled cross-sectional?
Third, I notice that there are a lot of missing values for sex (I look at a variable called sex),
Is there any other variables in BHPS that can tell us the respondent's sex but with fewer missing values?
Fourth, I also want to know individual's age. I found a variable called (doby),
Again, is there any other variables that I should use for individual's age?
Fifth, I want to look at individual's educational background.
What variable should I use which tells me the highest education respondents have.
Last, I want to include respondent's income/socio-economics status.
I saw there are many possible variables that I can use,
but I am wondering what are the most commonly used variables for individual's income/socio-economic statues?
Many thanks
Updated by Redmine Admin about 12 years ago
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Dear Steve,
First, for the purpose of my study, I will only include people from Scotland. Could I ask what is the variable that I should use to allow me to do this.
A: _REGION2 is a possibility
Second, I am wondering what are the weighting variables for Scotland population only (not Scotland+Welsh)? Are there separate weighting variables for longitudinal data or pooled cross-sectional?
A: please see user guide pp. 194+ https://www.iser.essex.ac.uk/bhps/documentation/vola/vola.html
Third, I notice that there are a lot of missing values for sex (I look at a variable called sex), Is there any other variables in BHPS that can tell us the respondent's sex but with fewer missing values?
A: please let us know which file/variable you are looking at
Fourth, I also want to know individual's age. I found a variable called (doby),Again, is there any other variables that I should use for individual's age?
A: _AGE on INDRESP (but see previous answer)
Fifth, I want to look at individual's educational background. What variable should I use which tells me the highest education respondents have.
A: _QFEDHI
Last, I want to include respondent's income/socio-economics status. I saw there are many possible variables that I can use,but I am wondering what are the most commonly used variables for individual's income/socio-economic statues?
A: horses for courses? For a time series spanning 1990-2019, NS-SEC would have some advantages over others. Please also see user guide/documentation for information on the many income variables provided with the dataset.
Jakob