Computational (Agent-Based) ModelPC
Agent-based ModelPC (portfolio choice) combines the circular flow approach of agent-based ModelSIM with the stock approach. Money is now a financial asset which agents hold for investment purposes. Agents make a portfolio choice between money and other short-duration government financial assets.
The development of agent-based ModelSIM brought to light that change in real-world US government expenditures rhyme across a political-chronological plane. Expenditure by administration show distinct patterns of intensity - some in response to the moment - most intrinsic to administration.
Over the long-run, US 10-year bond-yield dynamics significantly correlate with ModelSIM money supply velocity.
Class Power & Bond Yield Dynamics
The development of agent-based ModelPC will extend simple agent behaviours to include consumer agent class types. The quantity of government financial assets accumulated by a consumer agent since model run beginning will decide, at the end of each iteration, a 'class' type to be attached to the agent.
Class types determine the influence an agent will have on government agent expenditures, distribution and taxation beyond the integration of real-world expenditure time-series data.