Summary information

Study title

Welfare at a (Social) Distance, 2020-2022

Creator

Baumberg Geiger, B., University of Kent
Edmiston, D., University of Leeds
Summers, K., London School of Economics and Political Science (LSE), University of London
de Vries, R., University of Kent
Robertshaw, D., University of Leeds, Business School
Young, D., University of Salford
Gibbons, A., University of Salford
Scullion, L., University of Salford

Study number / PID

8689 (UKDA)

10.5255/UKDA-SN-8689-3 (DOI)

Data access

Restricted

Series

Not available

Abstract

Abstract copyright UK Data Service and data collection copyright owner.Welfare at a (Social) Distance is a major research project looking at the UK benefits system during the Covid-19 pandemic. It is funded by the Economic and Social Research Council as part of UK Research and Innovation's rapid response to COVID-19. Further information can be found on the Welfare at a (Social) Distance project website. The benefits system is crucial to supporting people during, and after, the COVID-19 crisis. With a growing number of new claimants, it faces two challenges. Firstly, to ensure people quickly get the money they need. Secondly, to make sure that people are helped to quickly return to work or supported further if unable to work. This project provided vital information on how these challenges are being met and where the system struggles. The project includes several components: Three waves of YouGov quantitative surveys of new and existing benefit claimants (wave 1 n=8k, wave 2 and wave 3 with refreshment samples n=6.5-7.5k); A quantitative survey of NON-claimants in July-Aug 2020 (n=2.8k), from a smaller related project funded by the Health Foundation - this includes those who tried and failed to claim, are in need but ineligible, or who may be eligible but decided not to claim.Three waves of YouGov quantitative surveys of the general population about their attitudes to benefits (wave 1 n=1.6k, wave 2 and wave 3 n=3.4k); Two waves of qualitative interviews (via phone/Zoom) with new and existing claimants (74 initial interviews and 60 follow-up interviews). These will be added to the UKDS study as soon as they are ready to release;Qualitative interviews (via phone/Zoom) with organisations that provide support to benefit claimants, in four case study areas - Salford, Leeds, Newham (London), and Thanet (East Kent) (32 interviews). These will be added to the UKDS study as soon as they are ready to release. Latest edition information For the third...
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Methodology

Data collection period

19/05/2020 - 14/06/2022

Country

United Kingdom

Time dimension

Longitudinal/panel/cohort

Analysis unit

Individuals
Subnational

Universe

SURVEY DATA: New and existing claimants within the YouGov respondent panel. The aim was to obtain a large (n=8k) survey of working-age benefit claimants, split between 'new' claimants since the Covid-19 pandemic started in the UK (since 1 March 2020) and 'existing' claimants (who were claiming before this). The focus was on the benefits that provide income to people who lose their job or whose earnings reduce, namely Universal Credit (UC), Jobseeker's Allowance (JSA), Employment and Support Allowance (ESA) and Tax Credits (TCs). QUALITATIVE CLAIMANT INTERVIEWS: current claimants of UC, JSA, ESA and TCs (mirroring the survey sample). QUANTITATIVE CASE STUDY INTERVIEWS: individuals working across a range of local organisations involved in providing benefits, crisis and employment support within four (anonymised) case study areas.

Sampling procedure

Not available

Kind of data

Text
Numeric

Data collection mode

Self-administered questionnaire: Web-based (CAWI)
Face-to-face interview

Funding information

Grant number

ES/V003879/1

Access

Publisher

UK Data Service

Publication year

2020

Terms of data access

The Data Collection is available to UK Data Service registered users subject to the End User Licence Agreement.

Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.

Related publications

Not available