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Individual Preferences for Truth-Telling

Authors: Schudy, Simeon; Grundmann, Susanna; Spantig, Lisa;

Individual Preferences for Truth-Telling

Abstract

Contrary to the standard economic view of misreporting for material gain, recent evidence highlights robust preferences for truth-telling. Models consistent with aggregate behavior attribute these preferences to intrinsic honesty and social image concerns. We introduce a novel incentivized measure that independently identifies both motives at the individual level. It exhibits strong internal validity, predicts behavior in established honesty paradigms, and uncovers stable preference types across samples. We also propose a 2-minute survey module predicting behavior in a standard reporting task. Implemented in a large panel, the module allows us to shed light on how early-life experiences shape preferences for truth-telling.

This Version: December 2025

Keywords

honesty, social image concerns, D82, ddc:330, individual preferences, C91, D91, D01, intentions, lying costs

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    influence
    This indicator 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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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
2
Top 10%
Average
Average
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