Prospect Theory: Frontmatter

By Peter P. Wakker. 2010

326 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/c1781e02364d9848ee77b344829a294c5e4adef6

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Citations in the corpus

Dual Process Theories in Behavioral Economics and Neuroeconomics: a Critical Review (2019, background): “For instance, there is no explicit mention of dual processing in either Tversky & Kahneman (1992) or Wakker (2010) regarding the psychological components of cumulative prospect theory.”
The Worst, the Best, Ignoring All the Rest: The Rank Effect and Trading Behavior (2015, background): “4 For an overview of the literature see Diecidue and Wakker (2001) and Wakker (2010).”
A genuine foundation for prospect theory (2012, background): “Prospect theory (PT) is currently one of the most well known and very influential models of decision making under uncertainty (Wakker, 2010).”
Prospect theory for continuous distributions: A preference foundation (2011, background): “6.1 and Section 8.4; Davies and Satchell 2003; Wakker 2010, Eqs.”
Risk Preferences Around the World (2015, background): “…are in the gain or loss domain, consistent with prospect theory (Kahneman and Tversky 1979, Tversky and Kahneman 1992), whereas expected utility theory has been found to be insufficient for describing the risk attitudes of most people (see Wakker 2010 for a comprehensive review of prospect theory).”
Measuring Loss Aversion under Ambiguity: A Method to Make Prospect Theory Completely Observable (2016, methodology): “There is abundant qualitative evidence for loss aversion, from both the lab and the field (Barberis 2013; Fox and Poldrack 2014; Wakker 2010).”
Expected utility or prospect theory maximisers? Assessing farmers' risk behaviour from field-experiment data (2014, background): “However, the effect of pessimism on probability weighting was found to be low compared with likelihood sensitivity, and, as such, is often ignored in empirical applications (see Wakker, 2010, for more details).”
Aggregating imprecise or conflicting beliefs: An experimental investigation using modern ambiguity theories (2012, background): “These results are consistent with the common findings for prospect theory for risk (Wakker 2010 §9.5).”
Measuring the time stability of Prospect Theory preferences (2010, unknown): “Importantly, this creates interdependencies among the corresponding parameters that are important to take into account when these are jointly elicited via CEs.7 To illustrate the interdependencies we will use a (α, δ+)coordinate system where each point in the coordinate system represents a distinct ”