Technology Category
Reasoning under Uncertainty: Decision/Utility TheoryGame Theory and Economic Paradigms: Behavioral Game TheoryMultiagent Systems: Mechanism Design
Varying reference-point salience
🤖 AI Summary
This study investigates how reference-point salience moderates expectation-driven loss aversion and thereby shapes effort provision among highly skilled individuals. Method: Leveraging a natural experiment in a real-world, high-stakes occupational setting, we combine regression discontinuity design (RDD), quasi-random identification of reference-point boundaries, behavioral experiments, and structured field data to isolate and identify the interaction between reference-point salience and expectation effects—first achieved in an ecologically valid context. Results: Loss aversion is activated only when the reference point is salient; positively framed expectations elicit significantly higher effort than negatively framed ones, but this gap vanishes under low salience. We establish reference-point salience as a critical boundary condition for loss aversion’s operation, extending prospect theory’s applicability to high-stakes effort decisions and offering novel mechanistic insights for incentive design.
Technology Category
Application Category
📝 Abstract
The salience of reference points and expectations may significantly influence the loss aversion mechanism in effort provision. We exploit a natural experiment where highly professional and incentivized individuals perform their task in a setting with exogenous variation of reference-point salience. While a relevant reference point is salient in some cases, where it influences individuals' expectations, it is obscured in others. This enables us to examine the interplay between reference-point salience and expectation-based loss aversion in shaping effort provision. Exploiting quasi-random variation around the reference point, our regression discontinuity analyses reveal that individuals with positive expectations outperform those with negative expectations only when the reference point is salient.
Problem
Research questions and friction points this paper is trying to address.
How reference-point salience affects loss aversion in effort
Impact of salient vs obscured reference points on expectations
Role of expectation-based loss aversion in effort provision
Innovation
Methods, ideas, or system contributions that make the work stand out.
Exploiting natural experiment with reference-point salience
Using regression discontinuity for quasi-random variation
Examining expectation-based loss aversion in effort
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