Integration of input – output approach into agent-based modeling. Part 1. Methodological principles
Abstract
The article presents a comparison of the Agent-Based Multiregional Input–Output Model (ABMIOM) of the Russian economy and a small-size version of the Optimization Multiregional Input-Output Model (OMIOM) from the per-spective of their possible integration for spatial economic research. These models share many similar features, technically and conceptually. The two models regard the economy as a complex system of interdependent compo-nents; both have the same spatial and sectoral structure, similar production technologies. Both allow to perform a structural analysis of processes taking place in the economy in terms of industries and territories. The former is a simulation model, the latter is a linear optimization model; their major differ-ences relate to the methods of modeling the market and price mechanisms and of representing the space. We propose to use a spatial input-output model based on the real data as the source of disaggregated information at the stage of initialization of agent-based models, which opens opportunities of gradual turning them into an experimentation area for the real economy, rather than an instrument for an analysis of an artificial economy.
About the Authors
D. A. DomozhirovRussian Federation
N. M. Ibragimov
Russian Federation
L. V. Melnikova
Russian Federation
A. A. Tsyplakov
Russian Federation
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Review
For citations:
Domozhirov D.A., Ibragimov N.M., Melnikova L.V., Tsyplakov A.A. Integration of input – output approach into agent-based modeling. Part 1. Methodological principles. World of Economics and Management. 2017;17(1):86–99. (In Russ.)