Description
Metadata
Settings
About:
Abstract We examine how prior outcomes can influence expectations about unrelated future events. Consistent with the affect literature, we first predict that prior outcomes will yield more optimistic expectations when the outcomes are positively, rather than negatively, valenced. We then predict that the impact of prior outcomes will depend on not only the valence, but also the domain of prior outcomes. Specifically, we draw from Prospect theory to predict that the impact of prior outcomes on future expectations will be greater in the domain of losses than in the domain of gains. Two lottery-based experiments demonstrate that this effect is robust across different starting and ending wealth states, and a third experiment shows that these differences in expectations also translate into differences in risk preferences.
Permalink
an Entity references as follows:
Subject of Sentences In Document
Object of Sentences In Document
Explicit Coreferences
Implicit Coreferences
Graph IRI
Count
http://ns.inria.fr/covid19/graph/entityfishing
14
http://ns.inria.fr/covid19/graph/articles
3
Faceted Search & Find service v1.13.91
Alternative Linked Data Documents:
Sponger
|
ODE
Raw Data in:
CXML
|
CSV
| RDF (
N-Triples
N3/Turtle
JSON
XML
) | OData (
Atom
JSON
) | Microdata (
JSON
HTML
) |
JSON-LD
About
This work is licensed under a
Creative Commons Attribution-Share Alike 3.0 Unported License
.
OpenLink Virtuoso
version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Copyright © 2009-2025 OpenLink Software