Forecasting of Interregional Migration Flows

The article explores the problem of interregional migration flows modelling. As a rule, the existing models of interregional migration flows use the aggregated data and do not take into consideration the fact that a decision to relocate is formed and taken at the micro-level, at the level of househo...

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Main Authors: Yuriy Davydovich Shmidt, Natalya Viktorovna Ivashina, Pavel Nikolaevich Lobodin, Aleksey Leonidovich Kukhlevsky
Format: Article
Language:English
Published: Russian Academy of Sciences, Institute of Economics of the Ural Branch 2017-03-01
Series:Экономика региона
Subjects:
Online Access:http://www.economyofregion.com/archive/2017/64/2907/pdf/
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author Yuriy Davydovich Shmidt
Natalya Viktorovna Ivashina
Pavel Nikolaevich Lobodin
Aleksey Leonidovich Kukhlevsky
author_facet Yuriy Davydovich Shmidt
Natalya Viktorovna Ivashina
Pavel Nikolaevich Lobodin
Aleksey Leonidovich Kukhlevsky
author_sort Yuriy Davydovich Shmidt
collection DOAJ
description The article explores the problem of interregional migration flows modelling. As a rule, the existing models of interregional migration flows use the aggregated data and do not take into consideration the fact that a decision to relocate is formed and taken at the micro-level, at the level of households. The purpose of the present research is to develop the forecasting method for interregional migration flows of the region taking into consideration the behaviour of households at the micro-level. The research tests the hypothesis that the modelling of household behaviours at the local level as regards taking a decision to relocate to other regions, which takes into account the existing interactions with relatives and other communities, allows to obtain adequate forecasts of interregional migration flows. To forecast the interregional migration flows of the region, we develop a methodological approach and software solution, based on cellular automaton model modification proposed in the current work and on econometric models of birth and death processes, which have been tested on the Primorsky Krai data. The authors’ model of the cellular automaton is a kind of the combined probabilistic cellular automaton in which the condition of each cell changes depending on a condition of four closest neighbours (von Neumann vicinity) and four cells chosen in a random way. The article builds a mid-term forecast of Primorsky Krai interregional migration flows. The research demonstrates the possibility and reasonability of modelling the interregional migration flows by cellular automatons. The highly perspective direction of the research is the modelling of other macroeconomic processes based on modelling by cellular automatons of a behaviour of households, companies and other economic entities at the local level.
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spelling doaj.art-b04225b3f07e482b80636131458f5d512023-08-02T01:00:59ZengRussian Academy of Sciences, Institute of Economics of the Ural BranchЭкономика региона2072-64142411-14062017-03-0113112613610.17059/2017–1–12Forecasting of Interregional Migration FlowsYuriy Davydovich Shmidt0Natalya Viktorovna Ivashina1Pavel Nikolaevich Lobodin2Aleksey Leonidovich Kukhlevsky3Far Eastern Federal UniversityFar Eastern Federal UniversityFar Eastern Federal UniversityFar Eastern Federal UniversityThe article explores the problem of interregional migration flows modelling. As a rule, the existing models of interregional migration flows use the aggregated data and do not take into consideration the fact that a decision to relocate is formed and taken at the micro-level, at the level of households. The purpose of the present research is to develop the forecasting method for interregional migration flows of the region taking into consideration the behaviour of households at the micro-level. The research tests the hypothesis that the modelling of household behaviours at the local level as regards taking a decision to relocate to other regions, which takes into account the existing interactions with relatives and other communities, allows to obtain adequate forecasts of interregional migration flows. To forecast the interregional migration flows of the region, we develop a methodological approach and software solution, based on cellular automaton model modification proposed in the current work and on econometric models of birth and death processes, which have been tested on the Primorsky Krai data. The authors’ model of the cellular automaton is a kind of the combined probabilistic cellular automaton in which the condition of each cell changes depending on a condition of four closest neighbours (von Neumann vicinity) and four cells chosen in a random way. The article builds a mid-term forecast of Primorsky Krai interregional migration flows. The research demonstrates the possibility and reasonability of modelling the interregional migration flows by cellular automatons. The highly perspective direction of the research is the modelling of other macroeconomic processes based on modelling by cellular automatons of a behaviour of households, companies and other economic entities at the local level.http://www.economyofregion.com/archive/2017/64/2907/pdf/forecastmigrationinterregional flowcellular automatonregionsmethodological approachsoftware solutionPrimorsky Krai
spellingShingle Yuriy Davydovich Shmidt
Natalya Viktorovna Ivashina
Pavel Nikolaevich Lobodin
Aleksey Leonidovich Kukhlevsky
Forecasting of Interregional Migration Flows
Экономика региона
forecast
migration
interregional flow
cellular automaton
regions
methodological approach
software solution
Primorsky Krai
title Forecasting of Interregional Migration Flows
title_full Forecasting of Interregional Migration Flows
title_fullStr Forecasting of Interregional Migration Flows
title_full_unstemmed Forecasting of Interregional Migration Flows
title_short Forecasting of Interregional Migration Flows
title_sort forecasting of interregional migration flows
topic forecast
migration
interregional flow
cellular automaton
regions
methodological approach
software solution
Primorsky Krai
url http://www.economyofregion.com/archive/2017/64/2907/pdf/
work_keys_str_mv AT yuriydavydovichshmidt forecastingofinterregionalmigrationflows
AT natalyaviktorovnaivashina forecastingofinterregionalmigrationflows
AT pavelnikolaevichlobodin forecastingofinterregionalmigrationflows
AT alekseyleonidovichkukhlevsky forecastingofinterregionalmigrationflows