Incorporating Judgement in Fan Charts
Pär Österholm ()
Additional contact information
Pär Österholm: Department of Economics, Postal: Uppsala University, P.O. Box 513, SE-751 20 Uppsala, Sweden
No 2006:30, Working Paper Series from Uppsala University, Department of Economics
Abstract:
Within a decision-making group, such as the monetary-policy committee of a central bank,group members often hold differing views about the future of key economic variables. Such differences of opinion can be thought of as reflecting differing sets of judgement. This paper suggests modelling each agent’s judgement as one scenario in a macroeconomic model. Each judgement set has a specific dynamic impact on the system, and accordingly, a particular predictive density – or fan chart – associated with it. A weighted linear combination of the predictive densities yields a final predictive density that correctly reflects the uncertainty perceived by the agents generating the forecast. In a model-based environment, this framework allows judgement to be incorporated into fan charts in a formalised manner.
Keywords: Forecasts; Predictive density; Linear opinion pool (search for similar items in EconPapers)
JEL-codes: C15 C53 E17 E50 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2006-11-20
New Economics Papers: this item is included in nep-cba, nep-for, nep-mac and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://uu.diva-portal.org/smash/get/diva2:47313/FULLTEXT01.pdf (application/pdf)
Related works:
Journal Article: Incorporating Judgement in Fan Charts (2009) 
Working Paper: Incorporating judgement in fan charts (2006) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hhs:uunewp:2006_030
Access Statistics for this paper
More papers in Working Paper Series from Uppsala University, Department of Economics Department of Economics, Uppsala University, P. O. Box 513, SE-751 20 Uppsala, Sweden. Contact information at EDIRC.
Bibliographic data for series maintained by Ulrika Öjdeby ().