In this note we study the allocation and exchange of discrete resources in environ- ments in which monetary transfers are not allowed. We allow each discrete resource to be represented by several copies, extend onto this environment the trading cycles mechanisms of Pycia and Ünver [2009], and...

Allocation and exchange of discrete resources such as kidneys, school seats, and many other resources for which agents have single-unit demand is conducted via direct mechanisms without monetary transfers. Incentive compatibility and efficiency are primary concerns in designing such mechanisms....

Ordinal random mechanisms have been used in real-life situations for reasons such as sustaining fairness or preventing collusion. Two examples of such domains are voting and matching. We investigate whether desirable properties of a random mechanism survive decomposition as a lottery over...

A group of agents exchange discrete resources on a network without recourse to monetary transfers. Allowing for an arbitrary network structure, we show that there is a unique core outcome in the exchange problem. This unique outcome may be implemented via a natural extension of Gale's Top...

Pay-as-bid is the most popular auction format for selling treasury securities. We prove the uniqueness of pure-strategy Bayesian-Nash equilibria in pay-as-bid auctions where symmetrically-informed bidders face uncertain supply, and we establish a tight sufficient condition for the existence of...

School districts and other institutions allocating objects without the use of transfers tend to rely on mechanisms that only elicit agents' ordinal preferences. The present note shows that the welfare loss imposed by only eliciting ordinal preferences can be arbitrarily large

The annual adverse effects of pollution are on the order of 10% of world GDP. Many approaches are used or have been proposed to control the growing pollution problem, but none of them allows for efficient pollution control in settings in which the marginal cost of pollution is increasing and...