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Journal of the European Economic Association
Article . 2019 . Peer-reviewed
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Article . 2014 . Peer-reviewed
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Article . 2014 . Peer-reviewed
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EconStor
Research . 2014
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Too Proud to Stop: Regret in Dynamic Decisions

Authors: Paul Viefers; Philipp Strack;

Too Proud to Stop: Regret in Dynamic Decisions

Abstract

AbstractRegret and its anticipation affect a wide range of decisions. Job-seekers reject offers while waiting for an offer to match their best past offer; investors hold on to badly performing stocks; and managers throw good money after bad projects. We analyze behavior of a decision maker with regret preferences in a dynamic context and show that regret agents have a disposition to gamble until they receive a payoff matching the best past offer. Results from a lab experiment confirm that many subjects exhibit such behavior and are reluctant to stop below the past peak.

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Keywords

Regret, ddc:330, C91, Optimal stopping, D03, Dynamic behavior, Optimal stopping, Dynamic behavior, Regret, jel: jel:C91, jel: jel:D3

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Top 10%
Top 10%
hybrid