John Boik presented a poster at the 2016 De Lange Conference X: Humans, Machines, and the Future of Work, at Rice University. The poster summarized results of a simulation that used an earlier agent-based simulation model of currency flows in an idealized LEDDA.
For this simulation, the initial unemployment rate was set at 30%, depression-level conditions. Further, by design choice, the workforce partition target was 50% in the nonprofit sector. Like the earlier simulation, results are illustrative, not predictive. Family incomes rose to the 90th percentile of starting incomes. Other results can be seen in the poster. Click on the poster to enlarge. A high-resolution version is available on request.
