DOI: 10.7910/dvn/navjvq
title: Replication Data for: Family Matters: How Concerns about the Financial Wellbeing of Young Relatives Shape the Political Preferences of Older Adults

description: This provides the replication data and code for the study "Family Matters: How Concerns about the Financial Wellbeing of Young Relatives Shape the Political Preferences of Older Adults", forthcoming in the British Journal of Political Science. (2025-02-03)
description: *** READ BEFORE DOWNLOADING DATA / DO-FILES ***

The data used for the analysis in the article 'Family Matters' comes from two sources. Firstly, the Study of Intergenerational Political Preferences in Great Britain [Intergenpol-GB] - an original August 2022 (12/08/22 - 25/08/22) YouGov survey designed by the authors of this paper. Secondly, the May 2022 (06/05/22 - 26/05/22) edition (i.e. Wave 23) of the British Election Study Internet Panel, which was also fielded by YouGov and from which respondents to the Intergenpol-GB study were recruited. Because the Intergenpol-GB sample was recruited from the earlier BES sample, it is possible to link and merge the two datasets, as we do here. 
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Here we provide only merged Stata-format dataset ('FamilyMatters_Replication_Raw' and 'FamilyMatters_Replication_Clean') comprising of those variables featuring in the Intergenpol-GB and BES surveys that are necessary to replicate our paper. Likewise, the dataset contains only those respondents who feature in both the BES and Intergenpol-GB surveys, rather than all respondents from Wave 23 of the BES. 
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For those interested in downloading the original Intergenpol-GB and BES datasets (i. i.e. prior to the merging and dropping of irrelevant variables/observations), as well as the associated codebooks, the sources are as follows:
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Intergenpol-GB (v.1.1): Grant, Z., J. Green, G. Evans. (2023). Study of Intergenerational Political Preferences in Great Britain [INTERGENPOL-GB], Vers.1.1. DOI: 10.7910/DVN/OYJHAM, Harvard Dataverse. Available at: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.7910%2FDVN%2FOYJHAM. Accessed: 09/10/23.
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British Election Study Internet Panel, Wave 23 (v.1): Fieldhouse, E., J. Green, G. Evans, J. Mellon & C. Prosser, J. Bailey. (2022). British Election Study Internet Panel Waves 1-23. DOI: 10.5255/UKDA-SN-8810-1. Available at: https://www.britishelectionstudy.com/data-objects/panel-study-data/. Accessed: 09/10/23.
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These datasets can be merged using the common 'id' variable. See the codebook associated with the Intergenpol-GB dataset for more information about this.
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Were you to merge these datasets yourself, you would be left with the dataset 'FamilyMatters_Replication_Raw.dta'. This contains all the variables used in both the BES and Intergenpol-GB studies, although only the subset of observations / respondents who appear in both surveys. The do-file 'FamilyMatters_Replication_Cleaning.do' can then be run on this dataset. This will complete all the necessary recoding, relabelling, imputing, or merging of different variables - as well as the dropping of unnecessary ones - required before running the analysis used in our paper and its supplementary material.
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After running 'FamilyMatters_Replication_Cleaning.do' you will be left with a dataset identical to 'FamilyMatters_Replication_Clean.dta'. This contains only those variables necessary to complete the analysis featured in our study. All these variables have already been recoded, relabelled, merged etc. (as required), as is covered in the 'ReplicationPart1_Cleaning.do' file. For convenience, we provided 'FamilyMatters_Replication_Clean.dta' as a separate ready-made file, allowing you to skip the recoding stage of our analysis, if you wish.
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To run all the analysis in our paper and supplementary material, please use the 'FamilyMatters_Replication_Analysis.do' do-file in association with the 'FamilyMatters_Replication_Clean.dta' dataset. The file should be self-explanatory and run-automatically without error. Do let me (Zack Grant) know if you experience any issues here, however (zack.grant@nuffield.ox.ac.uk).
description: Stata, 16