Previous studies on loss aversion have shown mixed results for small stakes decisions. This thesis provides a parameter-free measurement of the utility func-tion of individuals. The main goal is to measure utility for both gains and losses and determine whether loss aversion can be seen in the preferences of the sub-jects. Additionally, the thesis provides a test of prospect theory and its central features. The results include finding loss aversion on the individual level and aggregate level. The magnitude of loss aversion is lower than previous research for higher stakes decisions. The subjects show traditional S-shaped utility; con-cave for gains and convex for losses. Utility is similar for risk and uncertainty. Ambiguity aversion and re...
We propose a simple, parameter-free method that, for the first time, makes it possible to completely...
International audienceWe propose a simple, parameter‐free method that, for the first time, makes it ...
International audienceWe propose a simple, parameter‐free method that, for the first time, makes it ...
Agrowing body of qualitative evidence shows that loss aversion, a phenomenon formalized in prospectt...
textabstractA growing body of qualitative evidence shows that loss aversion, a phenomenon formalized...
textabstractA growing body of qualitative evidence shows that loss aversion, a phenomenon formalized...
Previous studies of loss aversion in decisions under risk have led to mixed results. Losses appear t...
This paper provides an efficient method to measure utility under prospect theory, the most importan...
Abstract: This paper discusses the various approaches that have been adopted to analyze loss aversio...
Loss aversion is a theory which states that losses loom larger than gains. Negative outcomes are wei...
Loss aversion is a theory which states that losses loom larger than gains. Negative outcomes are wei...
Loss aversion is a theory which states that losses loom larger than gains. Negative outcomes are wei...
We propose a simple, parameter-free method that, for the first time, makes it possible to completely...
Prospect Theory proposed that the (dis)utility of losses is always more than gains due to a phenomen...
Extensive data has convincingly demonstrated that expected utility, the reigning economic theory of ...
We propose a simple, parameter-free method that, for the first time, makes it possible to completely...
International audienceWe propose a simple, parameter‐free method that, for the first time, makes it ...
International audienceWe propose a simple, parameter‐free method that, for the first time, makes it ...
Agrowing body of qualitative evidence shows that loss aversion, a phenomenon formalized in prospectt...
textabstractA growing body of qualitative evidence shows that loss aversion, a phenomenon formalized...
textabstractA growing body of qualitative evidence shows that loss aversion, a phenomenon formalized...
Previous studies of loss aversion in decisions under risk have led to mixed results. Losses appear t...
This paper provides an efficient method to measure utility under prospect theory, the most importan...
Abstract: This paper discusses the various approaches that have been adopted to analyze loss aversio...
Loss aversion is a theory which states that losses loom larger than gains. Negative outcomes are wei...
Loss aversion is a theory which states that losses loom larger than gains. Negative outcomes are wei...
Loss aversion is a theory which states that losses loom larger than gains. Negative outcomes are wei...
We propose a simple, parameter-free method that, for the first time, makes it possible to completely...
Prospect Theory proposed that the (dis)utility of losses is always more than gains due to a phenomen...
Extensive data has convincingly demonstrated that expected utility, the reigning economic theory of ...
We propose a simple, parameter-free method that, for the first time, makes it possible to completely...
International audienceWe propose a simple, parameter‐free method that, for the first time, makes it ...
International audienceWe propose a simple, parameter‐free method that, for the first time, makes it ...