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Experienced vs. Described Uncertainty: Do We Need Two Prospect Theory Specifications?
by
Abdellaoui, Mohammed
, Paraschiv, Corina
, L'Haridon, Olivier
in
Ambiguity
/ Applied sciences
/ Coefficients
/ Comparative analysis
/ Context
/ Decision making
/ Decision theory
/ Decision theory. Utility theory
/ decision weights
/ Decisions
/ description-based decisions
/ domain_shs.eco.eco
/ Economics and Finance
/ Elicitation
/ Entscheidung unter Unsicherheit
/ Exact sciences and technology
/ Experience
/ experience-based decisions
/ Experimental economics
/ Frequentism
/ Humanities and Social Sciences
/ Loss
/ Loss aversion
/ Management science
/ Mathematics
/ Medical decision making
/ Operational research and scientific management
/ Operational research. Management science
/ Operations Research
/ Organizational behavior
/ Organizational behaviour
/ Probability
/ Probability and statistics
/ probability weighting
/ Property
/ Prospect Theory
/ rare events
/ risk
/ Risk aversion
/ Risk management
/ Sampling
/ Sampling theory, sample surveys
/ Sciences and techniques of general use
/ source of uncertainty
/ Statistical median
/ Statistics
/ Studies
/ Subjectivity
/ Term weighting
/ Theory
/ Uncertainty
/ utility
/ Utility functions
/ Utility theory
/ Wahrscheinlichkeitsrechnung
/ Weighting
/ Weighting functions
2011
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Experienced vs. Described Uncertainty: Do We Need Two Prospect Theory Specifications?
by
Abdellaoui, Mohammed
, Paraschiv, Corina
, L'Haridon, Olivier
in
Ambiguity
/ Applied sciences
/ Coefficients
/ Comparative analysis
/ Context
/ Decision making
/ Decision theory
/ Decision theory. Utility theory
/ decision weights
/ Decisions
/ description-based decisions
/ domain_shs.eco.eco
/ Economics and Finance
/ Elicitation
/ Entscheidung unter Unsicherheit
/ Exact sciences and technology
/ Experience
/ experience-based decisions
/ Experimental economics
/ Frequentism
/ Humanities and Social Sciences
/ Loss
/ Loss aversion
/ Management science
/ Mathematics
/ Medical decision making
/ Operational research and scientific management
/ Operational research. Management science
/ Operations Research
/ Organizational behavior
/ Organizational behaviour
/ Probability
/ Probability and statistics
/ probability weighting
/ Property
/ Prospect Theory
/ rare events
/ risk
/ Risk aversion
/ Risk management
/ Sampling
/ Sampling theory, sample surveys
/ Sciences and techniques of general use
/ source of uncertainty
/ Statistical median
/ Statistics
/ Studies
/ Subjectivity
/ Term weighting
/ Theory
/ Uncertainty
/ utility
/ Utility functions
/ Utility theory
/ Wahrscheinlichkeitsrechnung
/ Weighting
/ Weighting functions
2011
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Experienced vs. Described Uncertainty: Do We Need Two Prospect Theory Specifications?
by
Abdellaoui, Mohammed
, Paraschiv, Corina
, L'Haridon, Olivier
in
Ambiguity
/ Applied sciences
/ Coefficients
/ Comparative analysis
/ Context
/ Decision making
/ Decision theory
/ Decision theory. Utility theory
/ decision weights
/ Decisions
/ description-based decisions
/ domain_shs.eco.eco
/ Economics and Finance
/ Elicitation
/ Entscheidung unter Unsicherheit
/ Exact sciences and technology
/ Experience
/ experience-based decisions
/ Experimental economics
/ Frequentism
/ Humanities and Social Sciences
/ Loss
/ Loss aversion
/ Management science
/ Mathematics
/ Medical decision making
/ Operational research and scientific management
/ Operational research. Management science
/ Operations Research
/ Organizational behavior
/ Organizational behaviour
/ Probability
/ Probability and statistics
/ probability weighting
/ Property
/ Prospect Theory
/ rare events
/ risk
/ Risk aversion
/ Risk management
/ Sampling
/ Sampling theory, sample surveys
/ Sciences and techniques of general use
/ source of uncertainty
/ Statistical median
/ Statistics
/ Studies
/ Subjectivity
/ Term weighting
/ Theory
/ Uncertainty
/ utility
/ Utility functions
/ Utility theory
/ Wahrscheinlichkeitsrechnung
/ Weighting
/ Weighting functions
2011
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Experienced vs. Described Uncertainty: Do We Need Two Prospect Theory Specifications?
Journal Article
Experienced vs. Described Uncertainty: Do We Need Two Prospect Theory Specifications?
2011
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Overview
This paper reports on the results of an experimental elicitation at the individual level of all prospect theory components (i.e., utility, loss aversion, and weighting functions) in two decision contexts: situations where alternatives are described as probability distributions and situations where the decision maker must experience unknown probability distributions through sampling before choice. For description-based decisions, our results are fully consistent with prospect theory's empirical findings under risk. Furthermore, no significant differences are detected across contexts as regards utility and loss aversion. Whereas decision weights exhibit similar qualitative properties across contexts typically found under prospect theory, our data suggest that, for gains at least, the subjective treatment of uncertainty in experience-based and description-based decisions is significantly different. More specifically, we observe a less pronounced overweighting of small probabilities and a more pronounced underweighting of moderate and high probabilities for experience-based decisions. On the contrary, for losses, no significant differences were observed in the evaluation of prospects across contexts.
This paper was accepted by George Wu, decision analysis.
Publisher
INFORMS,Institute for Operations Research and the Management Sciences
Subject
/ Context
/ Decision theory. Utility theory
/ Entscheidung unter Unsicherheit
/ Exact sciences and technology
/ Humanities and Social Sciences
/ Loss
/ Operational research and scientific management
/ Operational research. Management science
/ Property
/ risk
/ Sampling
/ Sampling theory, sample surveys
/ Sciences and techniques of general use
/ Studies
/ Theory
/ utility
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