Results 271 to 280 of about 2,996,602 (316)
Development of a machine learning model for predicting urosepsis after ureteroscopic lithotripsy. [PDF]
UrolithiasisMei A +6 more
europepmc +1 more source
Identification of candidate variants in plasma associated with early versus late disease progression under anti-PD-1 therapy in metastatic NSCLC. [PDF]
Transl Lung Cancer ResRodriguez-Casanova A +11 more
europepmc +1 more source
Association between midlife macronutrient intake and late-life hearing loss: the Atherosclerosis Risk in Communities Study. [PDF]
J Gerontol A Biol Sci Med SciYévenes-Briones H +10 more
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International Economic Review, 1991
In a team subject to both adverse selection (each member's ability is known only to himself) and moral hazard (effort cannot be observed), optimal contracts are, under certain conditions, linear in the team's output. The outcome is the same whether the principal observes just the total output or each individual's contribution.
McAfee, R Preston, McMillan, John
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In a team subject to both adverse selection (each member's ability is known only to himself) and moral hazard (effort cannot be observed), optimal contracts are, under certain conditions, linear in the team's output. The outcome is the same whether the principal observes just the total output or each individual's contribution.
McAfee, R Preston, McMillan, John
openaire +1 more source
Optimal Subjective Contracting with Revision
Management Science, 2022We study the optimal contracting problem with subjective evaluation when the principal can ask the agent to revise his work. The possibility of revision benefits the principal by providing the option value of making another attempt at the work. However, it also introduces a new type of incentive problem for the principal: she may ask for revision even
Xinhao He, Jin Li 0037, Zhaoneng Yuan
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Optimal Sequencing of Contract Algorithms
Annals of Mathematics and Artificial Intelligence, 2003We address the problem of building an interruptible real-time system using non-interruptible components. Some artificial intelligence techniques offer a tradeoff between computation time and quality of results, but their run-time must be determined when they are activated.
Shlomo Zilberstein +2 more
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Super-optimization of Smart Contracts
ACM Transactions on Software Engineering and Methodology, 2022Smart contracts are programs deployed on a blockchain. They are executed for a monetary fee paid in gas —a clear optimization target for smart contract compilers. Because smart contracts are a young, fast-moving field without (manually) fine-tuned compilers, they highly benefit from automated and adaptable ...
Elvira Albert +4 more
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Oxford Economic Papers, 1992
This paper investigates the structure of optimal financial contracts and the main factors that influence it--verification and monitoring costs, moral hazard, agents' wealth limitations, and their attitudes to risk. It suggests that the optimality of debt contracts with costly bankruptcy is more robust than some have recently suggested and discusses how
openaire +1 more source
This paper investigates the structure of optimal financial contracts and the main factors that influence it--verification and monitoring costs, moral hazard, agents' wealth limitations, and their attitudes to risk. It suggests that the optimality of debt contracts with costly bankruptcy is more robust than some have recently suggested and discusses how
openaire +1 more source
Optimal Length of Labor Contracts
International Economic Review, 1985One of the most important parameters of a labor contract is its length, yet contract length has received relatively little attention by economists. The lack of attention to contract length might be justified if contract lengths were stable over time, but union labor contracts have fluctuated in length from one to five years. In this paper, we study the
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