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We study the role of different labor market integration policies on economic performance and convergence of two distinct regions in an agent-based model. Production is characterized by a complementarity between the quality of the capital stock and the specific skills of workers using the capital stock. Hence, productivity changes in a region are influenced both by the investment of local firms in high quality capital goods and by the evolution of the specific skill distribution of workers employed in the region. We show that various labor market integration policies yield, via differing regional worker flows, to distinct regional distributions of specific skills. Through this mechanism, relative regional prices are affected, determining the shares that the regions can capture from overall consumption good demand. There occurs a trade-off between aggregate output and convergence of regions with closed labor markets resulting in relatively high convergence but low output, and more integrated labor markets yielding higher output but lower convergence. Furthermore, results differ substantially in several respects as distinct labor market opening policies are applied.
330, etace_agent_based_modelling, agent-based modelling, Eurace@Unibi model, 300
330, etace_agent_based_modelling, agent-based modelling, Eurace@Unibi model, 300
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 46 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |