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Negative emotion accumulation and personal motivation

Understanding how emotions stemming from negative outcomes affect investment decisions is critical for studying choice under uncertainty. I build a framework to study how past and anticipated negative emotions interact with an agent’s preference and environment to influence her investment level. I s...

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Bibliographic Details
Main Author: Staner, Clément (Author)
Format: Book/Monograph Working Paper
Language:English
Published: Heidelberg Universitätsbibliothek Heidelberg 2024
Series:AWI discussion paper series no. 757 (December 2024)
In: AWI discussion paper series (no. 757 (December 2024))

DOI:10.11588/heidok.00035773
Subjects:
2010-2019
Graue Literatur
Online Access:Verlag, kostenfrei: https://archiv.ub.uni-heidelberg.de/volltextserver/35773/7/Staner_Negative_Emotion_dp757_2024.pdf
Resolving-System, kostenfrei: https://nbn-resolving.de/urn:nbn:de:bsz:16-heidok-357737
Resolving-System, kostenfrei: https://doi.org/10.11588/heidok.00035773
Verlag, kostenfrei, Volltext: http://www.ub.uni-heidelberg.de/archiv/35773
Resolving-System, kostenfrei: https://hdl.handle.net/10419/312871
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Author Notes:Clément Staner
Description
Summary:Understanding how emotions stemming from negative outcomes affect investment decisions is critical for studying choice under uncertainty. I build a framework to study how past and anticipated negative emotions interact with an agent’s preference and environment to influence her investment level. I show that the dynamic effect of emotions on decisions is more complicated than previously thought and requires a careful analysis of the decision environment to build correct predictions. Using baseball data, I show how to use the theoretical framework empirically to investigate the dynamic impact of emotion and find that it leads to suboptimal pitch velocity decisions.
Item Description:Discussion Paper Series / University of Heidelberg, Department of Economics ; 757 (December 2024)
Physical Description:Online Resource
DOI:10.11588/heidok.00035773

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