Prediction-market innovations can improve climate-risk forecasts

Roulston, Mark and Kaplan, Todd and Day, Brett and Kaivanto, Kim (2022) Prediction-market innovations can improve climate-risk forecasts. Nature Climate Change, 12 (10). pp. 879-880. ISSN 1758-678X

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Abstract

Forward-looking information about climate risks is critical for decision makers, but the provision and accuracy of such information is limited. Innovative prediction-market designs could provide a mechanism to enhance applied climate research in an incentive-compatible way.

Item Type:

Journal Article

Journal or Publication Title:

Nature Climate Change

Uncontrolled Keywords:

/dk/atira/pure/subjectarea/asjc/2300/2301

Subjects:

?? prediction marketclimate riskcircularity problemtwo-dimensional marketconditional forecastsenvironmental science (miscellaneous)social sciences (miscellaneous)d8g1q54 ??

Departments:

Lancaster University Management School > Economics

ID Code:

175517

Deposited By:

ep_importer_pure

Deposited On:

05 Sep 2022 13:45

Refereed?:

Yes

Published?:

Published

Last Modified:

25 Mar 2024 00:40

URI:

https://eprints.lancs.ac.uk/id/eprint/175517