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Understanding Society, the UK Household Longitudinal Study has a programme of research and development that underpins innovations in data collection methods. One of our current focuses is on using mobile applications to collect additional data that supplement data collected in annual interviews. To date, we have used mobile apps to collect data on consumer expenditure, well-being, anthropometrics and cognition. In this paper, we review the potential barriers to data collection using mobile apps and experimental evidence collected with the Understanding Society Innovation Panel, on what can be done to reduce these barriers.
Authors


Associate Director University of Essex

Research Professor University of Michigan
Journal article details
- DOI
- 10.1111/1475-5890.12351
- Publisher
- Institute for Fiscal Studies
- Issue
- Volume 44, Issue 4, pages 361-376
Suggested citation
Burton, J., Couper, M., and Jäckle, A. (2024), 'Understanding Society: minimising selection biases in data collection using mobile apps', Fiscal Studies, 44(4), 361–376, https://doi.org/10.1111/1475-5890.12351
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