Please use this identifier to cite or link to this item: http://elea.unisa.it/xmlui/handle/10556/3841
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dc.date.accessioned2019-11-08T14:07:40Z-
dc.date.available2019-11-08T14:07:40Z-
dc.description.abstractIn this writing we provide a brief overview on how in different fields such as statistics, econometrics and experimental psychology, the issue of measuring subjective expectations about future uncertain outcomes has been attacked. In many situations realized observed data come from a decision process in which the decision is made by considering future uncertain outcomes, so that the observed data will depend on future outcome via the probabilistic judgement made by the decision maker. For example the decision to buy a car today will depend on our expectations about future incomes, so that observed data about the number of cars sold will depend on peoples’ expectations about their future incomes. Expectations are not observable so that we need proper statistical methods of inference to treat these type of problems. Here, we provide a very general overview, and we try to summarize different approaches.it_IT
dc.language.isoenit_IT
dc.relation.ispartofWorking Papers ; 3.158it_IT
dc.identifier.citationCoretto, P. and Sorti, G. (2005). “Subjective expectations in economics: a statistical overview of the main findings”. DISES Working Paper 3.158, Università degli Studi di Salerno, Dipartimento di Scienze Economiche e Statistiche.it_IT
dc.titleSubjective expectations in economics: a statistical overview of the main findingsit_IT
dc.sourceUniSa. Sistema Bibliotecario di Ateneoit_IT
dc.contributor.authorCoretto, Pietro-
dc.contributor.authorStorti, Giuseppe-
dc.date.issued2005-
dc.identifier.urihttp://elea.unisa.it:8080/xmlui/handle/10556/3841-
dc.identifier.urihttp://dx.doi.org/10.14273/unisa-2063-
dc.typeWorking Paperit_IT
dc.format.extent61 p.it_IT
dc.identifier.issn1971-3029it_IT
dc.subjectSubjective expectationsit_IT
dc.subjectProbability elicitationit_IT
dc.subjectRational expectationsit_IT
dc.subjectPrior specificationit_IT
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