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  • Merging Five-quarter longitudinal data UK Labour Force Survey

    Hi Statalist,
    I am relatively new to Stata. I wish to analysis the change in economic status between religions before and after a policy change - a diff-in-diff of sorts - along with other relevant analysis.

    By doing this I must merge the five-quarter longitudinal data for the UK Labour Force Survey from 1993-2020. However I am unsure of the best form of action. There is a personal identifier variable PERSID. Do I select which variables to keep in each dataset and then merge each one by one thereafter? Or is it possible to merge all first? I have looked into this but notice I must list the key variables first when merging.
    I am also unsure if this would be a one-to-one merge or one-many etc. I am only interested in questions that have been asked within this timescale so the variables I wish to keep should be mostly the same for each dataset- however there have been some variables that have been replaced or named something else over the years.

    Additionally, would I need to relabel each variable to indicate which year it was from? There are variables such as MANAGER1 and MANAGER2 - the numbers indicating which quarter it is for. Would these need to be relabelled as MANAGER102 for quarter 1 of 2002? Alternatively would an average need to be taken - AVGMANAGER02 - average of MANAGER variable for 2002.

    Please do forgive the lack of knowledge here.

    Any advice for this Stata rookie would be greatly appreciated!

  • #2
    It's hard to say without seeing the data.

    help dataex

    I'd think you'd want the data to be in long format (quarterly). You don't need to relabel variables in long format and the DID will be easily estimated. For that, you'd just append the datasets rather than merge them.

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