Integration of input–output approach into agent-based modeling. Part 1. Methodological principles

Dmitriy A. Domozhirov
1. Institute of Economics and Industrial Engineering SB RAS, Novosibirsk, Russia
2. Novosibirsk State University
d.domozhirov@gmail.com
Naimdjon M. Ibragimov
1. Institute of Economics and Industrial Engineering SB RAS, Novosibirsk, Russia
2. Novosibirsk State University
naimdjon.ibragimov@gmail.com
Larisa M. Melnikova
1. Institute of Economics and Industrial Engineering SB RAS, Novosibirsk, Russia
2. Novosibirsk State University
melnikova@ieie.nsc.ru
The material was received by the Editorial Board: 20/11/2016
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.

Keywords:
agent-based model, input-output table, interregional links



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References: 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, vol. 17, no. 1. P. 86–99. DOI: 10.25205/2542-0429-2017-17-1-86-99