Incentive contracts must typically be based on performance measures that do not exactly match agents' true contribution to principals' objectives. Such misalignment may impose difficulties for effective incentive design. We analyze to what extent implicit dynamic incentives such as career concerns and ratchet effects alleviate or aggravate these problems. Our analysis demonstrates that the interplay between distorted performance measures and implicit incentives implies that career and ratchet effects have real effects, that career and monetary incentives may be complements, and that stronger ratchet effects or more distortion may increase optimal monetary incentives
We analyze effects of performance measure properties (controllable and uncontrollable risk, distorti...
We develop a model and derive behavioral predictions for a multiproduct sales force subject to goals...
We provide a comprehensive empirical analysis of incentive design, focusing on effects of performanc...
Incentive contracts must typically be based on performance measures that do not exactly match agents...
Incentive contracts must typically be based on performance measures that do not exactly match agents...
It is well known that comparative performance information (CPI) can enhance efficiency in static pri...
In static principal-agent relationships, cooperation and competition among agents both yield higher ...
We study optimal incentive contracts when commitments are limited, and agents have multiple tasks an...
This paper considers the desirability of aggregate performance measures in light of the fact that ma...
International audienceLabor turnover creates longer term career concerns incentives that motivate em...
The performance-based payment PPP model has been widely used in the infrastructure projects. However...
In this paper, we investigate whether dynamic incentive schemes lead to a ratchet effect in a social...
Store managers in retail firms are often offered a performance-based compensation scheme accompanied...
We study optimal incentive contracts when commitments are limited, and agents have multiple tasks an...
We study optimal incentive contracts when commitments are limited, and agents have multiple tasks an...
We analyze effects of performance measure properties (controllable and uncontrollable risk, distorti...
We develop a model and derive behavioral predictions for a multiproduct sales force subject to goals...
We provide a comprehensive empirical analysis of incentive design, focusing on effects of performanc...
Incentive contracts must typically be based on performance measures that do not exactly match agents...
Incentive contracts must typically be based on performance measures that do not exactly match agents...
It is well known that comparative performance information (CPI) can enhance efficiency in static pri...
In static principal-agent relationships, cooperation and competition among agents both yield higher ...
We study optimal incentive contracts when commitments are limited, and agents have multiple tasks an...
This paper considers the desirability of aggregate performance measures in light of the fact that ma...
International audienceLabor turnover creates longer term career concerns incentives that motivate em...
The performance-based payment PPP model has been widely used in the infrastructure projects. However...
In this paper, we investigate whether dynamic incentive schemes lead to a ratchet effect in a social...
Store managers in retail firms are often offered a performance-based compensation scheme accompanied...
We study optimal incentive contracts when commitments are limited, and agents have multiple tasks an...
We study optimal incentive contracts when commitments are limited, and agents have multiple tasks an...
We analyze effects of performance measure properties (controllable and uncontrollable risk, distorti...
We develop a model and derive behavioral predictions for a multiproduct sales force subject to goals...
We provide a comprehensive empirical analysis of incentive design, focusing on effects of performanc...