Optimal allocation with costly inspection and discrete types under ambiguity
نویسندگان
چکیده
منابع مشابه
Optimal Allocation with Costly Verification
A principal (dean) has an object (job slot) to allocate to one of I agents (departments). Each agent has a strictly positive value for receiving the object. Each agent also has private information which determines the value to the principal of giving the object to him. There are no monetary transfers but the principal can check the value associated with any individual at a cost which may vary a...
متن کاملOptimal Stopping under Ambiguity
We consider optimal stopping problems for ambiguity averse decision makers with multiple priors. In general, backward induction fails. If, however, the class of priors is time–consistent, we establish a generalization of the classical theory of optimal stopping. To this end, we develop first steps of a martingale theory for multiple priors. We define minimax (super)martingales, provide a Doob–M...
متن کاملOptimal Event-triggered Control under Costly Observations
Digital control design is commonly constrained to time-triggered control systems with equidistant sampling intervals. The emergence of more and more complex and distributed systems urges the development of advanced triggering schemes that utilize computational and communication resources efficiently. This paper considers a linear stochastic continuous-time setting, where the design objective is...
متن کاملResource Allocation with Costly Participation
We propose a new all-pay auction format in which risk-loving bidders pay a constant fee each time they bid for an object whose monetary value is common knowledge among the bidders, and bidding fees are the only source of benefit for the seller. We show that for the proposed model there exists a unique Symmetric Subgame Perfect Equilibrium (SSPE). The characterized SSPE is stationary when re-ent...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Optimization Methods and Software
سال: 2017
ISSN: 1055-6788,1029-4937
DOI: 10.1080/10556788.2016.1277996