Abstract not available

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...

This report presents, motivates, and illustrates the use of a computational laboratory for the investigation of evolutionary trade network formation among strategically interacting buyers, sellers, and dealers. The computational laboratory, referred to as the Trade Network Game Laboratory (TNG...

This paper reports on computational experiments for an agent-based computational economics (ACE) model of a labor market with choice and refusal of contractual partners and endogenously evolving work-site behaviors. Three types of labor market structures are examined: two-sided markets...

Related work can be accessed here: http://www.econ.iastate.edu/tesfatsi/tnghome.htm

This paper reports on computational experiments for an agent-based computational economics (ACE) model of a labor market with choice and refusal of contractual partners and endogenously evolving work-site behavior. Three types of labor market structures are examined: two-sided markets comprising...

This study undertakes a systematic experimental investigation of the relationship between market power and labor market structure (concentration and capacity conditions) when workers and employers preferentially match based on past worksite experiences. For each tested market structure, workers...