Consider an environment with a finite number of alternatives, and agents with private values and quasilinear utility functions. A domain of valuation functions for an agent is a monotonicity domain if every finite-valued monotone randomized allocation rule defined on it is implementable in...

In this paper we construct unbiased matrix estimators and estimators minimizing the bias for discrete distributions families, whose probabilities as functions of the parameter form a Chebyshev system.

This paper proposes a Combined Method (combining fluid model estimators and statistical learning) to forecast the wait time for low-acuity patients in an Emergency Department, and describes the implementation of the Combined Method at the San Mateo Medical Center (SMMC). In historical data from...

We consider a one-sided assignment market or exchange network with transferable utility and the dynamics of bargaining in such a market. Our dynamical model is local, involving iterative updates of ‘offers’ based on estimated best alternative matches, in the spirit of pairwise Nash...

Two very different contractual structures are commonly observed inservice industries with congestion effects: service level guarantees(SLGs) and best effort (BE) service. We analyze the impact of thesecontractual agreements on market outcomes in oligopolistic industries.First, we consider a...

In this paper we study stochastic dynamic games with many players; these are a fundamental model for a wide range of economic applications. The standard solution concept for such games is Markov perfect equilibrium (MPE), but it is well known that MPE computation becomes intractable as the...

We investigate the impact of group formations on the efficiency of Cournot games where producers face uncertainties. In particular, we study a market model where producers must determine their output before an uncertainty production capacity is realized. In contrast to standard Cournot models,...