This study investigates the performance of Gale-Shapley matching in an evolutionary market context. Computational experimental findings are reported for an evolutionary match-and-play trade network game in which resource-constrained traders repeatedly choose and refuse trade partners in...

The objective of this note is to show that the positively valued excess supplies which Aiyagari (JME, 1992) connects with Pareto inefficiency for overlapping generations economies represent an economic opportunity that can potentially be exploited by government or by a private financial...

This study reports on computational experiments for an agent-based labor market model with adaptive choice and refusal of worksite partners and with endogenously evolving worksite behaviors. Two treatment factors are experimentally varied: market structure; and ex ante capacity constraints on...

This study reports experimental market power and efficiency outcomes for a computational wholesale electricity market operating in the short run under systematically varied concentration and capacity conditions. The pricing of electricity is determined by means of a clearinghouse double auction...

Agent-based computational economics (ACE) is the computational study of economies modelled as evolving decentralized systems of autonomous interacting agents. A key focus of ACE research is understanding how global regularities arise from the bottom up, through the repeated local interactions of...

Artificial life (alife) is the bottom-up study of basic phenomena commonly associated with living agents, such as self- replication, evolution, adaptation, self-organization, exploitation, competition, cooperation, and social network formation. Alife complements the traditional biological and...

Agent-based computational economics (ACE) is the computational study of economies modeled as evolving systems of autonomous interacting agents. Starting from initial conditions, specified by the modeler, the computational economy evolves over time as its constituent agents repeatedly interact...

Agent-based computational economics (ACE)is the computational study of economies modelled as evolving systems of autonomous interacting agents. This short paper is a brief guide to recent ACE research. For more information, visit the ACE Web site at http://www.econ.iastate.edu/tesfatsi/ace.htm....

In decision theory, incommensurabilities among conflicting decision criteria are typically handled by multicriteria optimization methods such as Pareto efficiency and mean-variance analysis. In econometrics and statistics, where conflicting model criteria replace conflicting decision criteria,...

This study uses an agent-based computational labor market framework to experimentally study the relationship between job capacity, job concentration, and market power. Job capacity is measured by the ratio of potential job openings to potential work offers, and job concentration is measured by...