Title :
Concentration, capacity and market power in an evolutionary labor market
Author :
Tesfatsion, Leigh
Author_Institution :
Dept. of Econ., Iowa State Univ., Ames, IA, USA
Abstract :
This paper reports on an experimental study of the relationship between job capacity, job concentration, and market power in the context of an agent-based computational model of a labor market. Job capacity is measured by the ratio of potential job openings to potential work offers, and job concentration is measured by the ratio of work suppliers to employers. For each experimental treatment, work suppliers and employers repeatedly seek preferred work-site partners based on continually updated expected utility, engage in work-site interactions modelled as prisoner´s dilemma games, and evolve their work-site behaviors over time. The main finding is that job capacity consistently trumps job concentration when it comes to predicting the relative ability of work suppliers and employers to exercise market power
Keywords :
economic cybernetics; employment; evolutionary computation; software agents; agent-based computational model; continually updated expected utility; employer; evolutionary labor market; job capacity; job concentration; market power; potential job openings; potential work offers; preferred work-site partners; prisoner´s dilemma games; work suppliers; work-site behavior; work-site interactions; Analytical models; Computational modeling; Context modeling; Economic forecasting; Intelligent agent; Laboratories; Power generation economics; Power measurement; Power supplies; Utility theory;
Conference_Titel :
Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
Conference_Location :
La Jolla, CA
Print_ISBN :
0-7803-6375-2
DOI :
10.1109/CEC.2000.870760