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Statistical risk warnings in gambling

Author

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  • NEWALL, PHILIP W.S.
  • WALASEK, LUKASZ
  • HASSANNIAKALAGER, ARMAN
  • RUSSELL, ALEX M.T.
  • LUDVIG, ELLIOT A.
  • BROWNE, MATTHEW

Abstract

Gambling is considered a public health issue by many researchers, similarly to alcohol or obesity. Statistical risk warnings on gambling products can be considered a public health intervention that encourages safer gambling while preserving freedom of consumer choice. Statistical risk warnings may be useful to gamblers, given that net gambling losses are the primary driver of harm and that gambling products vary greatly in the degree to which they facilitate losses. However, there is some doubt as to whether statistical risk warnings are, in their current form, effective at reducing gambling harm. Here, we consider current applications and evidence, discuss product-specific issues around a range of gambling products and suggest future directions. Our primary recommendation is that current statistical risk warnings can be improved and also applied to a wider range of gambling products. Such an approach should help consumers to make more informed judgements and potentially encourage gambling operators to compete more directly on the relative ‘price’ of gambling products.

Suggested Citation

  • Newall, Philip W.S. & Walasek, Lukasz & Hassanniakalager, Arman & Russell, Alex M.T. & Ludvig, Elliot A. & Browne, Matthew, 2023. "Statistical risk warnings in gambling," Behavioural Public Policy, Cambridge University Press, vol. 7(2), pages 219-239, April.
  • Handle: RePEc:cup:bpubpo:v:7:y:2023:i:2:p:219-239_1
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    Cited by:

    1. Wang, Dongxue & Fan, Ruguo & Yang, Peiwen & Du, Kang & Xu, Xiaoxia & Chen, Rongkai, 2024. "Research on floating real-time pricing strategy for microgrid operator in local energy market considering shared energy storage leasing," Applied Energy, Elsevier, vol. 368(C).
    2. Medvediev, Ievgen & Muzylyov, Dmitriy & Montewka, Jakub, 2024. "A model for agribusiness supply chain risk management using fuzzy logic. Case study: Grain route from Ukraine to Poland," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 190(C).

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