Forster, M., Randon, E. and Pryce, R. orcid.org/0000-0002-4853-0719 (2026) Do state lotteries exploit their lottery power? Optimal lotto pricing with heterogeneous players: evidence from the United Kingdom. Oxford Bulletin of Economics and Statistics. ISSN: 0305-9049
Abstract
We propose a new model of revenue-maximising lottery pricing under income-related heterogeneity and apply it to 13 years of UK National Lottery data. Our pricing rule shows how a state's lottery power is shaped by heterogeneities in lotto demand and the income distribution, and we study its efficiency and distributional implications. We find that UK lotto was regressive, underpriced by up to 20% for Saturday games and overpriced by up to 20% for Wednesday games. But annual revenue losses reached only 3% (£57m) and legislated pricing was less regressive than optimal on Saturdays and more regressive on Wednesdays. We contrast results from our model with those of two extensions: 1. a dynamic, rollover-induced, model of revenue-maximising pricing and 2. a model of social welfare maximisation with a lotto revenue target.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026 The Author(s). Oxford Bulletin of Economics and Statistics published by Oxford University and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | inequality; lotteries; optimal pricing; public finances |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health |
| Date Deposited: | 10 Aug 2026 14:18 |
| Last Modified: | 10 Aug 2026 14:18 |
| Status: | Published online |
| Publisher: | Wiley |
| Refereed: | Yes |
| Identification Number: | 10.1111/obes.70120 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:244297 |

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