2019
DOI: 10.1016/j.cie.2019.106018
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Optimal project deadlines for mean-variance incentive contract designs

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Cited by 5 publications
(2 citation statements)
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“…Specifically, the bonus coefficient associated with stock value α AI v (β) is increasing in β that a manager with higher fairness preference is better compensated with stock shares. This finding is counterintuitive since it probably induces information overstatement, and is inconsistent with standard mean-variance contracts, which compensate less for more fairness-preferred agents [13]. We figure out the driving mechanisms for increasing the equity-based incentives by exploring the variations of managerial effort devotion.…”
Section: Neutral Fairness Preferencementioning
confidence: 80%
“…Specifically, the bonus coefficient associated with stock value α AI v (β) is increasing in β that a manager with higher fairness preference is better compensated with stock shares. This finding is counterintuitive since it probably induces information overstatement, and is inconsistent with standard mean-variance contracts, which compensate less for more fairness-preferred agents [13]. We figure out the driving mechanisms for increasing the equity-based incentives by exploring the variations of managerial effort devotion.…”
Section: Neutral Fairness Preferencementioning
confidence: 80%
“…In these situations, the deadline becomes part of the target to be reached and according to the type of incentive scheme used it can be optimal to set different deadlines (El-Tannir, 2019). Individuals may be more or less likely to enter into such types of contracts depending on the bonus/penalty framing of the incentive scheme.…”
Section: Introductionmentioning
confidence: 99%