An agent-based economic model with centralized mode analysis for the economic big data: Method for management and scenario simulation of bookkeeping big data

This study provides a simulation and management method for an economy described by big bookkeeping data. Since general equilibrium models and statistics of basic economics could not describe and control these microstates, to utilize microdata, we developed an agent-based model which describes states of every agent in the bookkeeping system. We control our model with centralized mode analysis: it represents multi scenarios of growth path, and also search critical economic situations solving Turnpike dynamic optimization with simulated annealing. This model links microdata of enterprises, households, or a government to economic simulations and management.