Measuring Loss Aversion under Ambiguity: A Method to Make Prospect Theory Completely Observable

Mohammed Abdellaoui; Han Bleichrodt; Olivier L'Haridon; Dennie van Dolder

doi:10.1007/s11166-016-9234-y

Measuring Loss Aversion under Ambiguity: A Method to Make Prospect Theory Completely Observable

Mohammed Abdellaoui, Han Bleichrodt, Olivier L'Haridon, Dennie van Dolder

Finance

Research output: Contribution to Journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	1-20
Journal	Journal of Risk and Uncertainty
Volume	52
Issue number	1
DOIs	https://doi.org/10.1007/s11166-016-9234-y
Publication status	Published - 2016

Keywords

Prospect theory
Loss aversion
Utility for gains and losses
Risk
Ambiguity
Elicitation methods

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10.1007/s11166-016-9234-y

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Cite this

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title = "Measuring Loss Aversion under Ambiguity: A Method to Make Prospect Theory Completely Observable",

keywords = "Prospect theory, Loss aversion, Utility for gains and losses, Risk, Ambiguity, Elicitation methods",

author = "Mohammed Abdellaoui and Han Bleichrodt and Olivier L'Haridon and {van Dolder}, Dennie",

year = "2016",

doi = "10.1007/s11166-016-9234-y",

language = "English",

volume = "52",

pages = "1--20",

journal = "Journal of Risk and Uncertainty",

issn = "0895-5646",

publisher = "Springer Netherlands",

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AU - Abdellaoui, Mohammed

AU - Bleichrodt, Han

AU - L'Haridon, Olivier

AU - van Dolder, Dennie

PY - 2016

Y1 - 2016

KW - Prospect theory

KW - Loss aversion

KW - Utility for gains and losses

KW - Risk

KW - Ambiguity

KW - Elicitation methods

U2 - 10.1007/s11166-016-9234-y

DO - 10.1007/s11166-016-9234-y

M3 - Article

SN - 0895-5646

VL - 52

SP - 1

EP - 20

JO - Journal of Risk and Uncertainty

JF - Journal of Risk and Uncertainty

IS - 1

ER -