A Model of Reference-Dependent Preferences
By B. Kőszegi, Matthew Rabin. 2006
2,991 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Decision Sciences, Safety Research
View Paper: https://www.semanticscholar.org/paper/d9ada8d1d6031ceb9340a582c1fbe421953b97a8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Michaela Pagel
- Nicholas Barberis
- B. Kőszegi
- Charles D. Sprenger
- Colin F. Camerer
- A. Shleifer
- Andreas Fuster
- K. Ericson
In General Decision Sciences
- Michaela Pagel
- Gary Charness
- Nicholas Barberis
- K. Ericson
- Charles D. Sprenger
- Andreas Fuster
- B. Kőszegi
- Peter Kuhn
In Safety Research
- Gary Charness
- Peter Kuhn
- Michaela Pagel
- Ernst Fehr
- Nicholas Barberis
- Martin A. Dufwenberg
- Andreas Fuster
- K. Ericson
Citations in the corpus
- Reference-Dependent Preferences: Evidence from Marathon Runners (2014, background): “Kőszegi and Rabin (2006) proposed that reference points are based on “beliefs... held in the recent past about outcomes.””
- Reference-Dependent Risk Attitudes (2007, methodology): “When we apply A39 below, we will parameterize m as m91102 5 h and m9– 102 5 lh . h, so that h can be interpreted as the weight attached to gain-loss utility.”
- The Worst, the Best, Ignoring All the Rest: The Rank Effect and Trading Behavior (2015, background): “…points have been suggested, such as a zero return (Odean 1998), the risk free rate (Barberis and Huang 2001), or expectations of performance (Kőszegi and Rabin 2006, Meng 2012). piece of information about the same stock due to effect that other stocks in their portfolio have on the way they…”
- A Structural Analysis of Disappointment Aversion in a Real Effort Competition (2012, neutral): “Kahneman and Tversky (2000) collect a number of papers providing empirical support for loss aversion in numerous different contexts, while DellaVigna (2009) surveys some more recent evidence.”
- Family Violence and Football: The Effect of Unexpected Emotional Cues on Violent Behavior (2011, neutral): “Specifically, we hypothesize the risk of violence is affected by the ‘gain-loss’ utility associated with game outcomes around a rationally expected reference point (Koszegi and Rabin, 2006).”