Understanding Society User Support

Understanding Society User Support Team wrote in #note-1:

Hello David,

The Study includes several variables related to "travel to work." For example: jsmainwktrv – Main mode of travel to work (self-employed) and mainwktrv – Main mode of travel to work (employee). There are also several follow-up questions for both employees and the self-employed. I recommend using the Mainstage Variables search at [https://www.understandingsociety.ac.uk/documentation/mainstage/variables/] to look up "travel to work."

For ESA/PIP, you might want to check the Unearned Income and State Benefits module at [https://www.understandingsociety.ac.uk/documentation/mainstage/questionnaire-modules/benefits_w14/]. There, you’ll find information on covered periods, disability benefits, amounts, and more.

I hope this information is helpful.

Best wishes,
Roberto Cavazos
Understanding Society User Support Team

Understanding Society User Support Team wrote in #note-1:

Hello David,

The Study includes several variables related to "travel to work." For example: jsmainwktrv – Main mode of travel to work (self-employed) and mainwktrv – Main mode of travel to work (employee). There are also several follow-up questions for both employees and the self-employed. I recommend using the Mainstage Variables search at [https://www.understandingsociety.ac.uk/documentation/mainstage/variables/] to look up "travel to work."

For ESA/PIP, you might want to check the Unearned Income and State Benefits module at [https://www.understandingsociety.ac.uk/documentation/mainstage/questionnaire-modules/benefits_w14/]. There, you’ll find information on covered periods, disability benefits, amounts, and more.

I hope this information is helpful.

Best wishes,
Roberto Cavazos
Understanding Society User Support Team

Hi Roberto,

Thanks for your reply. I might be able to construct a categorical variable for disability severity from the Unearned Income and State Benefits module.

For the travel to work area geographic layer variable, I apologise for the confusion but I meant having the ability to link to (and hopefully extend) this study. https://www.sciencedirect.com/science/article/abs/pii/S0927537115001062

My initial instinct was to use local authorities as my finest geo identifier (There is a lot of fixed effect control data I can use at this level), but obviously the cell size of each LA for the number of people with disabilities would be quite low, so now I think using this would be the best https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=6675&type=Data%20catalogue

Of course, another option would be to aggregate (using weighted averages by population) as many (contiguous) local authority data as possible that correspond to each "travel to work area"

Hello David,

You may find the US Geographical Lookup Tables useful for identifying the corresponding matches between various geographical levels. You can access them here:
https://understandingsociety.ac.uk/wp-content/uploads/documentation/data-linkage/geographical_lookup_tables.pdf

For additional information on geographical linkage, please visit:
https://www.understandingsociety.ac.uk/documentation/linked-data/geographical-identifiers/

I hope this information is helpful.

Best wishes,
Roberto Cavazos
Understanding Society User Support Team