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Estimating and interpreting internal migration flows in Russia by accounting for network effects

Sascha Sardadvar and Elena Vakulenko ()

Socio-Economic Planning Sciences, 2020, vol. 69, issue C

Abstract: The present article follows two objectives. First, to apply a recently developed spatial interaction model and discuss its power in explaining social developments. Second, to obtain information on internal migration's determinants in Russia by taking into account that its eastern and western regions differ in many respects. Two alternative panel specifications are considered, labelled “spatial interaction specification with exogenous spatial lags” and “gravity-type specification with network effects”. While both specifications are designed to capture the impacts of neighbouring regions in migration dynamics, they differ with respect to the implementation of fixed effects. It is argued that neighbourhood impacts manifest themselves either as spillover effects, which amplify a variable's impact, or competition effects, which attenuate them. The results show that variables indeed differ from each other in these respects, demonstrating how migration patterns are subject to events beyond the directly involved regions, and that these are furthermore influenced by the distances between regions. In addition, the results provide further evidence that migration determinants differ for Eastern and Western Russia.

Keywords: Internal migration; Spatial econometrics; Spatial interaction models; Gravity model; Russia (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:69:y:2020:i:c:s0038012118302751

DOI: 10.1016/j.seps.2019.01.007

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