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Several empirical findings have challenged the traditional view on the trade-off between risk and incentives. By combining risk aversion and limited liability in a standard principal-agent model the empirical puzzle ont hepositive relationship between risk and incentives can be explained....
Persistent link: https://www.econbiz.de/10003782288
Several empirical findings have challenged the traditional trade-off between risk and incentives. By combining risk aversion and limited liability in a standard principal-agent model the empirical puzzle on the positive relationship between risk and incentives can be explained.
Persistent link: https://www.econbiz.de/10003471782
This paper extends the standard principal-agent model with moral hazard to allow for agents having reference-dependent preferences according to Köszegi and Rabin (2006, 2007). The main finding is that loss aversion leads to fairly simple contracts. In particular, when shifting the focus from...
Persistent link: https://www.econbiz.de/10003782366
In the context of principal-agent theory risk is largely seen as a source that causes inefficiencies and lowers incentives and accordingly is not in the principal’s interest. In this paper I compare two different designs of a collective tournament where output in a team is generated through a...
Persistent link: https://www.econbiz.de/10003850395
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The problem of designing tournament contracts under limited liability and alternative performance measures is considered. Under risk neutrality, only the best performing agent receives an extra premium if the liability constraint becomes binding. Under risk aversion, more than one prize is...
Persistent link: https://www.econbiz.de/10003126339
This paper discusses the optimal organization of sequential agency problems with contractible control actions under limited liability. In each of two stages, a risk-neutral agent can choose an unobservable effort level. A success in the first stage makes effort in the second stage more...
Persistent link: https://www.econbiz.de/10003126410
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