Decomposition in the assessment of judgmental probability forecasts

Ahti A. Salo, Derek W. Bunn*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)


Although the use of decomposition has won wide support as a means of improving the defensibility of judgmental forecasts, many decomposition techniques have encountered difficulties in ensuring the consistency of the respondent's probability statements. The more theoretically attractive methods have often become too complicated for practical assessment. In response to these difficulties, we present an approach that (1) aggregates judgmental forecasts and forecast adjustments based on partial probability information about conditioning scenarios and (2) guides the respondent into consistent replies by informing him about the judgments that are compatible with the earlier ones. The recent forecasting applications of hierarchical weighting are contrasted with the proposed approach. This is then illustrated with an example on the forecasting of hazardous emissions.

Original languageEnglish
Pages (from-to)13-25
Number of pages13
JournalTechnological Forecasting and Social Change
Issue number1
Publication statusPublished - May 1995
MoE publication typeA1 Journal article-refereed


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