Unraveling David Plane’s Tools for Analyzing the Income Impacts of Interregional Migration Flows

2019 ◽  
pp. 19-33
Author(s):  
Jacques Ledent
Keyword(s):  
Interregional Migration ◽  
Migration Flows

Modeling interregional migration flows: Continuity and change

2001 ◽  
Vol 9 (3-4) ◽  
pp. 231-263 ◽  
Author(s):  
Andrei Rogers ◽  
Frans Willekens ◽  
And James Raymer
Keyword(s):  
Interregional Migration ◽  
Continuity And Change ◽  
Migration Flows

scholarly journals Modelling interregional migration flows by the cellular automata

2020 ◽  
Vol 12 (6) ◽  
pp. 1467-1483
Author(s):  
Yuriy Davidovich Shmidt ◽  
Natalya Victorovna Ivashina ◽  
Galina Pavlovna Ozerova
Keyword(s):  
Cellular Automata ◽  
Interregional Migration ◽  
Migration Flows

scholarly journals Forecasting of Interregional Migration Flows

2017 ◽  
pp. 126-136
Author(s):  
Yu.D. Shmidt ◽  
N.V. Ivashina ◽  
P.N. Lobodin ◽  
A.L. Kukhlevsky
Keyword(s):  
Interregional Migration ◽  
Migration Flows

scholarly journals Analysis of interregional migration flows in Russia in the context of certain types of migration

2021 ◽  
Vol 50 (2) ◽  
pp. 36-55
Author(s):  
E.A. Ostrovskaya ◽  
◽  
D.S. Mamontov ◽  
K.A. Spiridonov ◽  
I.V. Levyy ◽  
...  
Keyword(s):  
Gravity Models ◽  
Interregional Migration ◽  
Clustering Methods ◽  
Social Sphere ◽  
Regional Labor ◽  
Migration Factors ◽  
Migration Flows ◽  
Definition Of ◽  
The Impact

The impact of interregional migration on regional economic and social sphere necessitates the determination of migration factors. An analysis of existing studies has shown that gravity models can be considered the most effective tool for migration flows analysis. At the same time existing studies show a weak elaboration of approaches that involve the separation of migration into different types depending on the goal of the relocation. The purpose of the article is to analyze the interregional migration flows in the context of types of migration identifying a set of factors that determine a particular type of migration. The main result obtained by the authors is the determination of three regional clusters that attract a certain type of migrants. Clustering was carried out using a set of indicators with a model-oriented clustering methods. The main conclusions made in the article are related to improving the quality of models when dividing regions into clusters and including different variables for certain types of migration. However, the authors note that the input data for the analysis is somewhat noisy, since it contains migrants of all ages. Therefore, the obtained regional groupings by type of migration are only the first approximation of differentiation by type of arriving or departing citizens. The results of the study can be used for further work on the definition of the determinants of interregional migration, as well as for studies on the impact of migration on regional labor markets and socioeconomic situation of regions.

scholarly journals Analysing Structures of Interregional Migration in England

2010 ◽  
pp. 280-293 ◽  
Author(s):  
James Raymer ◽  
Corrado Giulietti
Keyword(s):  
Linear Model ◽  
Interregional Migration ◽  
Migration Flow ◽  
Interaction Terms ◽  
Main Effect ◽  
Migration Flows ◽  
Log Linear ◽  
Ethnic Migration ◽  
Over Time ◽  
Model Fits

In this chapter, we explore the age and ethnic structures of interregional migration in England, as measured by the 1991 and 2001 Censuses. In doing so, we first analyse the main effect and two-way interaction components of migration flow tables cross-classified by (1) origin, destination and age and (2) origin, destination and ethnicity. Second, we test the significance of three-way interaction terms over time by comparing various unsaturated log-linear model fits. The aim is to identify the key structures in the migration flow tables and how they have changed over time. This is important for understanding the mechanisms underlying the more general patterns of migration. These analyses could also be used to inform the estimation or projection of migration flows. Our findings are that, despite a large increase in the levels of interregional migration, migration structures in England have remained fairly stable over time. The main changes have to do with the increases in the relative levels of ethnic migration over time, which has been unequal across space.

Interregional Migration of Human Capital and Unemployment Dynamics: Evidence from Italian Provinces

2019 ◽  
Vol 20 (4) ◽  
pp. e385-e414 ◽  
Author(s):  
Roberto Basile ◽  
Marianna Mantuano ◽  
Alessandro Girardi ◽  
Giuseppe Russo
Keyword(s):  
Human Capital ◽  
Opposite Effect ◽  
Tertiary Education ◽  
Interregional Migration ◽  
Long Distance ◽  
Net Migration ◽  
The North ◽  
Italian Provinces ◽  
Migration Flows ◽  
High Skill

Abstract Since the mid-1990s interregional migration flows in Italy have dramatically increased, especially from the South to the North. These flows are characterized by a strong component of human capital, involving a large number of workers with secondary and tertiary education. Using longitudinal data for the period 2002-2011 at NUTS-3 territorial level, we document that long-distance (i.e., South-North) net migration of high-skill workers has increased the unemployment at origin and decreased it at destination, thus deepening North-South unemployment disparities. On the other hand, long-distance net migration of low-skill workers has had the opposite effect, by lowering the unemployment at origin and raising it at destination. Further evidence also suggests that the diverging effect of high-skill migration dominates the converging effect of lowskill migration. Thus, concerns for an ‘internal brain drain’ from Southern regions look not groundless.

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