Risk and Rationality: Uncovering Heterogeneity in Probability Distortion
By Adrian Bruhin, Helga Fehr-Duda, Thomas Epper. 2009
471 citations recorded by the source corpus.
Subfields: Artificial Intelligence, General Decision Sciences, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/833eef3163b970bcf28c616d54c87ddd26f83d58
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Thomas Epper
- Helga Fehr-Duda
- Adrian Bruhin
- Patrick Gerhard
- J. Gladstone
- Arvid O. I. Hoffmann
- Renate Schubert
- Arnaud Reynaud
In General Decision Sciences
- Thomas Epper
- Helga Fehr-Duda
- Adrian Bruhin
- Patrick Gerhard
- J. Gladstone
- Arvid O. I. Hoffmann
- Renate Schubert
- G. Bocquého
In Management Science and Operations Research
- Thomas Epper
- Helga Fehr-Duda
- Adrian Bruhin
- Patrick Gerhard
- J. Gladstone
- Arvid O. I. Hoffmann
- G. Bocquého
- Renate Schubert
Citations in the corpus
- Psychological characteristics and household savings behavior: The importance of accounting for latent heterogeneity (2018, methodology): “In line with the general recommendations of Bruhin et al. (2010) as well as Cameron and Trivedi (2005), we also assess whether the selected two-class model has classes that are well-separated from each other as indicated by the entropy statistic proposed by Ramaswamy et al. (1993); are balanced in…”
- Viewing the future through a warped lens: Why uncertainty generates hyperbolic discounting (2011, methodology): “3The risk data was also used in Bruhin, Fehr-Duda, and Epper (2010).”
- Rationality on the rise: Why relative risk aversion increases with stake size (2010, methodology): “Details of the estimation procedure are discussed in Appendix C (see also Bruhin et al. 2007).”
- Rankings and Risk-Taking in the Finance Industry (2018, unknown): “In the first task we measured risk-attitudes in a standard choice list setting (Bruhin et al., 2010; Abdellaoui et al., 2011).”
- Measuring Loss Aversion under Ambiguity: A Method to Make Prospect Theory Completely Observable (2016, unknown): “Although most studies found convex utility, some studies also found linear or concave utility (for example, Bruhin et al. 2010).”
- Tastes, Castes, and Culture: The Influence of Society on Preferences (2011, unknown): “Today, there is, for example, a relatively large literature on risk (e.g. Bruhin, Fehr-Duda, and Epper 2010; Starmer 2000), time (e.g. Frederick, Loewenstein, O’Donoghue 2002), and social preferences (e.g. Fehr and Schmidt 2003, Cooper and Kagel, forthcoming) that provides constraints on the types…”
- Risk aversion relates to cognitive ability: Preferences or Noise? (2016, background): “In our analysis we do not aim to distinguish between risk avoidance stemming from concavity of the utility function and rank-dependent probability weighting (Quiggin 1982; Fehr-Duda and Epper 2012; Bruhin et al. 2010). One advantage of 50-50 gambles is that they are easy to understand. This is espec”