The policy analysis market: an electronic commerce application of a combinatorial information market

[no abstract

The policy analysis market: an electronic commerce application of a combinatorial information market

[no abstract

Scheduling jobs that are subject to deterministic due dates and have deteriorating expected rewards

A single server processes jobs that can yield rewards but expire on predetermined dates. Expected immediate rewards from each job are deteriorating. The instance is formulated as a multiarmed bandit problem, and an index-based scheduling policy is shown to maximize the expected total reward

An experimental test of combinatorial information markets

While a simple information market lets one trade on the probability of each value of a single variable, a full combinatorial information market lets one trade on any combination of values of a set of variables, including any conditional or joint probability. In laboratory experiments, we compare the accuracy of simple markets, two kinds of combinatorial markets, a call market and a market maker, isolated individuals who report to a scoring rule, and two ways to combine those individual reports into a group prediction. We consider two environments with asymmetric information on sparsely correlated binary variables, one with three subjects and three variables, and the other with six subjects and eight variables (thus 256 states)

An experimental test of combinatorial information markets

While a simple information market lets one trade on the probability of each value of a single variable, a full combinatorial information market lets one trade on any combination of values of a set of variables, including any conditional or joint probability. In laboratory experiments, we compare the accuracy of simple markets, two kinds of combinatorial markets, a call market and a market maker, isolated individuals who report to a scoring rule, and two ways to combine those individual reports into a group prediction. We consider two environments with asymmetric information on sparsely correlated binary variables, one with three subjects and three variables, and the other with six subjects and eight variables (thus 256 states).Prediction Acquisition Bias Quantal response

Experimental testbedding of a pollution trading system: Southern California's RECLAIM emissions market

The efficient management of air quality through the use of pollution emissions trading systems is not a new idea (see Montgomery (1972)). However, the implementation of such systems is new. The design of the pollution permits being exchanged and the market in which the permits are traded requires the integration of environmental economics, game theory, operations research and experimental testing (see Ledyard (1993)). This chapter reports on experiments that were used to help design and testbed a novel pollution trading system used in Southern California. This system allows participants to trade two pollutants (nitrogen and sulfur oxides – NOx and SOx) across two zones (upwind and downwind) over 9 years separate years (1994-2003). The complexity associated with such an interdependent system of commodities makes the design of the trading system challenging. Testbedding new systems is standard fare in engineering but only recently has been applied to economics through the use of experiments (see Plott (1994)). Unlike experiments designed to test specific theories of behavior, testbedding is used when theory supplies little design advice and when the process is relatively new and there is no experience