Optimal Long-Term Contracting with Learning
Feng Gao,
Zhiguo He (),
Bin Wei and
Jianfeng Yu
No 2016-10, FRB Atlanta Working Paper from Federal Reserve Bank of Atlanta
Abstract:
We introduce uncertainty into Holmstrom and Milgrom (1987) to study optimal long-term contracting with learning. In a dynamic relationship, the agent's shirking not only reduces current performance but also increases the agent's information rent due to the persistent belief manipulation effect. We characterize the optimal contract using the dynamic programming technique in which information rent is the unique state variable. In the optimal contract, the optimal effort is front-loaded and decreases stochastically over time. Furthermore, the optimal contract exhibits an option-like feature in that incentives increase after good performance. Implications about managerial incentives and asset management compensations are discussed.
Keywords: executive compensation; moral hazard; Bayesian learning; hidden information; belief manipulation; private savings; continuous time; stock options (search for similar items in EconPapers)
JEL-codes: D8 D86 M12 (search for similar items in EconPapers)
Pages: 58 pages
Date: 2016-11-01
New Economics Papers: this item is included in nep-hrm and nep-mic
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Citations: View citations in EconPapers (4)
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Related works:
Journal Article: Optimal Long-Term Contracting with Learning (2017) 
Working Paper: Optimal Long-term Contracting with Learning (2012) 
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