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dc.contributor.authorAHRENSHOP, Mats
dc.contributor.authorGOLDEN, Miriam A.
dc.contributor.authorGULZAR, Saad
dc.contributor.authorSONNET, Luke
dc.date.accessioned2023-12-11T09:19:25Z
dc.date.available2023-12-11T09:19:25Z
dc.date.issued2023
dc.identifier.citationJournal of experimental political science, 2023, OnlineFirsten
dc.identifier.issn2052-2630
dc.identifier.issn2052-2649
dc.identifier.urihttps://hdl.handle.net/1814/76156
dc.descriptionPublished online: 22 November 2023en
dc.description.abstractWe report the results of a forecasting experiment about a randomized controlled trial that was conducted in the field. The experiment asks Ph.D. students, faculty, and policy practitioners to forecast (1) compliance rates for the RCT and (2) treatment effects of the intervention. The forecasting experiment randomizes the order of questions about compliance and treatment effects and the provision of information that a pilot experiment had been conducted which produced null results. Forecasters were excessively optimistic about treatment effects and unresponsive to item order as well as to information about a pilot. Those who declare themselves expert in the area relevant to the intervention are particularly resistant to new information that the treatment is ineffective. We interpret our results as suggesting that we should exercise caution when undertaking expert forecasting, since experts may have unrealistic expectations and may be inflexible in altering these even when provided new information.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherCambridge University Pressen
dc.relation.ispartofJournal of experimental political scienceen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleInaccurate forecasting of a randomized controlled trialen
dc.typeArticleen
dc.identifier.doi10.1017/XPS.2023.28
dc.rights.licenseAttribution 4.0 International*


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International