Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared

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dc.contributor.authorGreen, Kesten C
dc.contributor.authorArmstrong, J. Scott
dc.contributor.authorGraefe, Andreas
dc.date2023-05-17T06:14:58.000
dc.date.accessioned2023-05-22T23:41:48Z
dc.date.available2023-05-22T23:41:48Z
dc.date.issued2007-01-01
dc.date.submitted2011-05-23T10:24:26-07:00
dc.description.abstractTraditional groups meetings are an inefficient and ineffective method for making forecasts and decisions. We compare two structured alternatives to traditional meetings: the Delphi technique and prediction markets. Delphi is relatively simple and cheap to implement and has been adopted for diverse applications in business and government since its origins in the 1950s. It can be used for nearly any forecasting, estimation, or decision making problem not barred by complexity or ignorance. While prediction markets were used more than a century ago, their popularity waned until more recent times. Prediction markets can be run continuously, and they motivate participation and participants to reveal their true beliefs. On the other hand, they need many participants and clear outcomes in order to determine pay-offs. Moreover, translating knowledge into a price is not intuitive to everyone and constructing contracts that will provide a useful forecast may not be possible for some problems. It is difficult to maintain confidentiality with markets and they are vulnerable to manipulation. Delphi is designed to reveal panelists’ knowledge and opinions via their forecasts and the reasoning they provide. This format allows testing of knowledge and learning by panelists as they refine their forecasts but may also lead to conformity due to group pressure. The reasoning provided as an output of the Delphi process is likely to be reassuring to forecast users who are uncomfortable with the “black box” nature of prediction markets. We consider that, half a century after its original development, Delphi is under-utilized.
dc.description.commentsSuggested Citation: Green, K.C., Armstrong, J.S. and Graefe, A. (2007). Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared. Foresight. Issue 8.
dc.identifier.urihttps://repository.upenn.edu/handle/20.500.14332/39314
dc.legacy.articleid1168
dc.legacy.fieldstrue
dc.legacy.fulltexturlhttps://repository.upenn.edu/cgi/viewcontent.cgi?article=1168&context=marketing_papers&unstamped=1
dc.source.issue157
dc.source.journalMarketing Papers
dc.source.peerreviewedtrue
dc.source.statuspublished
dc.subject.otherForecasting
dc.subject.otherBusiness
dc.subject.otherMarketing
dc.titleMethods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared
dc.typeArticle
digcom.contributor.authorisAuthorOfPublication|email:kesten@kestencgreen.com|institution:Monash University|Green, Kesten C
digcom.contributor.authorisAuthorOfPublication|email:armstrong@wharton.upenn.edu|institution:University of Pennsylvania|Armstrong, J. Scott
digcom.contributor.authorisAuthorOfPublication|email:graefe@itas.fzk.de|institution:Forschungszentrum Karlsruhe|Graefe, Andreas
digcom.identifiermarketing_papers/157
digcom.identifier.contextkey2025034
digcom.identifier.submissionpathmarketing_papers/157
digcom.typearticle
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery41dea9b4-9b35-463c-b64c-4b21801ed115
upenn.schoolDepartmentCenterMarketing Papers
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