Nathalie Etchart-Vincent
General Decision Sciences · 2004–2011
A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- General Decision Sciences — 33 citations into it; #266 of 1,995 by trust here, #1,066 by citations
- Economics and Econometrics — 22 citations into it; #4,690 of 23,481 by trust here, #13,596 by citations
- Safety Research — 18 citations into it
- Accounting — 5 citations into it
- Sociology and Political Science — 5 citations into it
Whom Nathalie Etchart-Vincent trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mohammed Abdellaoui
- Amos Tversky
- Daniel Kahneman
- Richard Gonzalez
- B. Weber
- George Wu
- C. Starmer
- Sarah E. Bonner
- Ralph Hertwig
- H. Stott
Who trusts Nathalie Etchart-Vincent overall
- Han Bleichrodt
- Mohammed Abdellaoui
- Olivier L’Haridon
- Adam S. Booij
- W. Botzen
- Helga Fehr-Duda
- Corina Paraschiv
- Gijs van de Kuilen
- Jeroen C. J. H. Aerts
- Adrian Bruhin
Papers from Nathalie Etchart-Vincent's perspective
Ordered by how strongly the researchers Nathalie Etchart-Vincent trusts endorse each paper. Same corpus, a different order for every researcher.
- On the shape of the probability weighting function.
- Experimental practices in economics: A methodological challenge for psychologists? (Behavioral and Brain Sciences)
- Choices, Values, and Frames
- Cumulative prospect theory's functional menagerie
- Choice-Based Elicitation and Decomposition of Decision Weights for Gains and Losses Under Uncertainty (Management Sciences)
- Parameter-Free Elicitation of Utility and Probability Weighting Functions
- Advances in prospect theory: Cumulative representation of uncertainty
- Rational choice and the framing of decisions
- Developments in Non-expected Utility Theory: The Hunt for a Descriptive Theory of Choice under Risk
- Loss Aversion in Riskless Choice: A Reference-Dependent Model
Their papers
- Is Probability Weighting Sensitive to the Magnitude of Consequences? An Experimental Investigation on Losses (2004) — 179 citations
- Monetary incentives in the loss domain and behavior toward risk: An experimental comparison of three reward schemes including real losses (2011) — 138 citations
- Probability weighting and the ‘level’ and ‘spacing’ of outcomes: An experimental study over losses (2009) — 50 citations