This is an agent-based representation of Tiebout model (JPE, 1956). The model shows that Tiebout might have been overly optimistic. See my paper for more details.
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This is an agent-based representation of Tiebout model (JPE, 1956). The model shows that Tiebout might have been overly optimistic.
There are six regions with various tax rates. The agents relocate to the region with the most preffered combination of tax rate and public goods. Since the agents are heterogeneous in their productivity and taste for public goods, there can be predation and attempts to run away from it. For more details, see my paper.
Set model parameters yourself, or use one of seven preset parametrizations. Then push SETUP and GO. If the model converges, it stops automatically. (Do not press SETUP button while GO procedure is still working, and vice versa.)
Notice how various parametrizations affect the outcomes (there are phase transitions). Learn which agents move, and why.
Try the preset parametrization, and then play around with other possible ones.
This section could give some ideas of things to add or change in the procedures tab to make the model more complicated, detailed, accurate, etc.
No special NetLogo features.
My other model in fiscal federalism, see my web pages www.econ.muni.cz/~qasar/models.html.