Olivier L’Haridon
General Decision Sciences · 2008–2016
A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- General Decision Sciences — 44 citations into it; #1,301 of 1,995 by trust here, #1,094 by citations
- Economics and Econometrics — 32 citations into it; #15,955 of 23,481 by trust here, #14,051 by citations
- Safety Research — 21 citations into it; #3,990 of 5,829 by trust here, #3,512 by citations
- Management Science and Operations Research — 10 citations into it
- Artificial Intelligence — 9 citations into it
- Finance — 6 citations into it
Whom Olivier L’Haridon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mohammed Abdellaoui
- Amos Tversky
- Nathalie Etchart-Vincent
- Daniel Kahneman
- H. Stott
- Peter P. Wakker
- Ulrich Schmidt
- Han Bleichrodt
Who trusts Olivier L’Haridon overall
Papers from Olivier L’Haridon's perspective
Ordered by how strongly the researchers Olivier L’Haridon trusts endorse each paper. Same corpus, a different order for every researcher.
- On the shape of the probability weighting function.
- Choice-Based Elicitation and Decomposition of Decision Weights for Gains and Losses Under Uncertainty (Management Sciences)
- Experimental practices in economics: A methodological challenge for psychologists? (Behavioral and Brain Sciences)
- Risk Aversion and Expected Utility Theory: A Calibration Theorem
- An Experimental Test of Loss Aversion
- Cumulative prospect theory's functional menagerie
- Making Descriptive Use of Prospect Theory to Improve the Prescriptive Use of Expected Utility (Management Sciences)
- Parameter-Free Elicitation of Utility and Probability Weighting Functions
- Advances in prospect theory: Cumulative representation of uncertainty
- The Foundations of Statistics
Their papers
- A tractable method to measure utility and loss aversion under prospect theory (2008) — 381 citations
- Monetary incentives in the loss domain and behavior toward risk: An experimental comparison of three reward schemes including real losses (2011) — 138 citations
- Measuring Loss Aversion under Ambiguity: A Method to Make Prospect Theory Completely Observable (2016) — 94 citations