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Computational (Agent-Based) ModelSIM

Agent-based ModelSIM is an interpretation of Godley & Lavoie's ModelSIM. Agent-based ModelSIM will solve computationally; not as systems of equations. The model must remain consistent with stock-flow accounting. Sectoral agents (best described as partially understood metaphors) are bound by monetary system flows.

Policy variables are government expenditure (a stimulus quantity) and a government mandated taxation rate (a percentage). Change in both expenditure and taxation determine the quantity of money (net financial assets) that flow towards or away from the non-government sector. This is the government sector fiscal balance, either in surplus (a money flow away from the non-government sector), or more typically, in deficit (a money flow toward the non-government sector).

Peruse modelSIM accounting. System beginning and opening experiments are illustrated on the ModelSIM.info website.

Real-World Expenditures

The model consumes real-world historical government expenditure time-series data in order to produce system cycles over time.

Strong Money, Fair Taxes

The model consumes real-world historical and forecast expenditure time-series data in order to produce system cycles over time.