2007
DOI: 10.1162/jeea.2007.5.1.66
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Incentive Design under Loss Aversion

Abstract: Compensation schemes often reward success but do not penalize failure. Fixed salaries with stock options or bonuses have this feature. Yet the standard principal-agent model implies that pay is normally monotonically increasing in performance. This paper shows that, under loss aversion, there will be intervals over which pay is insensitive to performance, with the use of carrots but not sticks is frequently optimal, especially when risk aversion is low and reference income is endogenous. A further benefit of c… Show more

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Cited by 86 publications
(40 citation statements)
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References 40 publications
(43 reference statements)
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“…In the case without delay, which proves to be more tractable than the setting with delay as well as the setting in the present paper, he solves for the welfare maximizing mechanism. Less closely related, de Meza and Webb (2007) consider incentive design under loss-aversion, Gill and Stone (2010) model a two-player rank-order tournament when agents are loss-averse, Carbajal and Ely (2016) study optimal price discrimination when a monopolist faces a continuum of consumers with reference-dependent preferences, Rosato (2014) proposes expectationsbased loss-aversion as an explanation for the "afternoon effect" observed in sequential auctions, and Karle and Peitz (2014) investigate firm strategy in imperfect competition.…”
Section: Related Literaturementioning
confidence: 99%
“…In the case without delay, which proves to be more tractable than the setting with delay as well as the setting in the present paper, he solves for the welfare maximizing mechanism. Less closely related, de Meza and Webb (2007) consider incentive design under loss-aversion, Gill and Stone (2010) model a two-player rank-order tournament when agents are loss-averse, Carbajal and Ely (2016) study optimal price discrimination when a monopolist faces a continuum of consumers with reference-dependent preferences, Rosato (2014) proposes expectationsbased loss-aversion as an explanation for the "afternoon effect" observed in sequential auctions, and Karle and Peitz (2014) investigate firm strategy in imperfect competition.…”
Section: Related Literaturementioning
confidence: 99%
“…Anticipating this tournament outcome, the average income   = (  +   ) 2 seems to be a natural candidate for the reference point. Following Barberis et al (2001), DeMeza andWebb (2007), p. 70, andGill andStone (2010), we assume that a loss averse player's preferences can be described by a linearly kinked utility function: 5…”
Section: Part Ii: Loss Aversionmentioning
confidence: 99%
“…Lemma 1 implies that the ratio θ(p 0 )/θ(p) for p 0 < p -and hence, volatility of market tightness -is lower than in the benchmark. 13 …”
Section: Long-term Contracts and Consumption Smoothingmentioning
confidence: 99%