A designer allocates several indivisible objects to a stream of randomly arriv-ing agents. The long-lived agents are privately informed about their value for an object, and about their arrival time to the market. The designer learns about future arrivals from past arrivals, while agents strategically choose when to make themselves available for trade. We characterize revenue maximizing direct mecha-nism and show that it can be implemented by a ”Name-Your-Own-Price ” dynamic auction mechanism. ∗A previous version of this paper has been circulated under the title ”Demand Uncertainty and Dynamic Allocation with Strategic Agents”. We also wish to thank Ron Lavi, Konrad Mierendorff
Myerson’s 1981 characterization of revenue-optimal auctions for single-dimensional agents follows fr...
We characterize the profit-maximizing mechanism for repeatedly selling a non-durable good in continuo...
This paper illustrates the benefits of applying mechanism design techniques to questions in revenue ...
We study the revenue maximizing allocation of several heterogeneous, commonly ranked objects to impa...
ABSTRACT: We examine an environment where objects and privately-informed buyers ar-rive stochastical...
ABSTRACT: We survey the recent literature on designing auctions and mechanisms for dy-namic settings...
We study indirect mechanisms in a setting where both objects and privately-informed buyers arrive st...
We study the revenue-maximizing allocation of several heterogeneous, commonly ranked objects to impa...
We survey the recent literature on designing auctions and mechanisms for dynamic settings. Two setti...
This thesis is about the design and analysis of smart markets for selling commodities and resources....
This paper characterizes revenue maximizing auctions for a Önite horizon version of the standard IV ...
In a dynamic market, being able to update one’s value based on information available to other bidder...
This paper studies revenue-maximizing auctions when buyersoutside options depend on their private in...
The assignment of tasks to multiple resources becomes an interesting game theoretic prob-lem, when b...
We provide an introduction to the recent developments of dynamic mechanism design, with a primary fo...
Myerson’s 1981 characterization of revenue-optimal auctions for single-dimensional agents follows fr...
We characterize the profit-maximizing mechanism for repeatedly selling a non-durable good in continuo...
This paper illustrates the benefits of applying mechanism design techniques to questions in revenue ...
We study the revenue maximizing allocation of several heterogeneous, commonly ranked objects to impa...
ABSTRACT: We examine an environment where objects and privately-informed buyers ar-rive stochastical...
ABSTRACT: We survey the recent literature on designing auctions and mechanisms for dy-namic settings...
We study indirect mechanisms in a setting where both objects and privately-informed buyers arrive st...
We study the revenue-maximizing allocation of several heterogeneous, commonly ranked objects to impa...
We survey the recent literature on designing auctions and mechanisms for dynamic settings. Two setti...
This thesis is about the design and analysis of smart markets for selling commodities and resources....
This paper characterizes revenue maximizing auctions for a Önite horizon version of the standard IV ...
In a dynamic market, being able to update one’s value based on information available to other bidder...
This paper studies revenue-maximizing auctions when buyersoutside options depend on their private in...
The assignment of tasks to multiple resources becomes an interesting game theoretic prob-lem, when b...
We provide an introduction to the recent developments of dynamic mechanism design, with a primary fo...
Myerson’s 1981 characterization of revenue-optimal auctions for single-dimensional agents follows fr...
We characterize the profit-maximizing mechanism for repeatedly selling a non-durable good in continuo...
This paper illustrates the benefits of applying mechanism design techniques to questions in revenue ...