Experiments on forecasting behavior with several sources of information – A review of the literature

Decision makers frequently have to forecast the future values of a time series (e.g. the price of a commodity, sales figures) given several sources of information (e.g. leading indicators, forecasts of advisors). As a subdomain of decision theory the explanation and the improvement of human forecast...

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Vydané v:European journal of operational research Ročník 213; číslo 3; s. 459 - 469
Hlavní autori: Leitner, Johannes, Leopold-Wildburger, Ulrike
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Amsterdam Elsevier B.V 16.09.2011
Elsevier
Elsevier Sequoia S.A
Edícia:European Journal of Operational Research
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ISSN:0377-2217, 1872-6860
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Shrnutí:Decision makers frequently have to forecast the future values of a time series (e.g. the price of a commodity, sales figures) given several sources of information (e.g. leading indicators, forecasts of advisors). As a subdomain of decision theory the explanation and the improvement of human forecasting behavior are interdisciplinary issues and have been subject to extensive empirical field and laboratory research. We here review the relevant experimental literature, demonstrate the significance of these results for decision science in general, and summarize the implications for practical forecasting applications.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ObjectType-Literature Review-3
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2011.01.006