Gambling expenditure and harm in banking data
Most knowledge on gambling expenditure and harm is based on retrospective self-report surveys, such as prevalence surveys, where gamblers are asked to state their level of spending on gambling and complete self-report scales such as the Problem Gambling Severity Index. This talk explains the first research showing how both gambling expenditure and harm can be objectively measured in bank data. Electronically-recorded gambling expenditure (e.g. in online and mobile gambling) can be retrieved from bank data, as well as relevant harm outcomes across financial (e.g. payday loans), social (e.g. spend on social activities) and health (e.g. spend on prescriptions, mortality) domains. These associations can be explored in much larger sample sizes than are possible with prevalence surveys, with the largest sample size covering 10.6% of the UK adult population.
Muggleton, N., Parpart, P., Newall, P., Leake, D., Gathergood, J., & Stewart, N. (2021). The association between gambling and financial, social, and health outcomes in big financial data. Nature Human Behaviour. doi: 10.1038/s41562-020-01045-w
Dates and times
Thursday 15 April 2021, 12.30 – 1.30 pm
A weblink to join the session will be shared after registration.
YOUR PRESENTER
Dr Philip Newall is one of the authors of this paper, with extensive experience in applying findings from behavioural science to gambling. Philip completed a PhD in Economics at the University of Stirling in 2016. Philip then completed postdoctoral research fellowships at Technical University Munich and the University of Warwick before joining CQUniversity’s Experimental Gambling Research Laboratory in October 2019. Practical experience informs Philip’s gambling research: Philip was previously a high-stakes online poker professional.
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