What is Loss Aversion?

By Ulrich Schmidt, Horst Zank. 2005

135 citations recorded by the source corpus.

Subfields: Artificial Intelligence, General Decision Sciences, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/d9923bddb49894289f7f56c4fe294b2e9a31f7db

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

1. Olivier L’Haridon
2. Mohammed Abdellaoui
3. Han Bleichrodt
4. Ulrich Schmidt
5. Horst Zank

In General Decision Sciences

1. Han Bleichrodt
2. Olivier L’Haridon
3. Mohammed Abdellaoui
4. Corina Paraschiv
5. Nathalie Etchart-Vincent
6. Gijs van de Kuilen
7. Adam S. Booij
8. Peter P. Wakker

In Management Science and Operations Research

1. Olivier L’Haridon
2. Mohammed Abdellaoui
3. Corina Paraschiv
4. Han Bleichrodt

Citations in the corpus

• A tractable method to measure utility and loss aversion under prospect theory (2008, background): “Schmidt and Zank (2005) proposed a behavioral definition of loss aversion, which is”
• Loss Aversion Under Prospect Theory: A Parameter-Free Measurement (2007, background): “Tversky and Kahneman (1992) assumed a power function for the utility for losses and and a one-parameter functional form for probability weighting and found a median power coefficient of 0.88, which corresponds to a slightly convex utility for losses; no individual data are given.”