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Internal migration dynamics of native and foreign workers

An impulse–response analysis of perturbation and resilience by means of a spatial vector autoregressive model

Dados Bibliográficos

ID10404992
AutoresMasood Gheasi (0000-0002-0857-408X, University of Southampton, autor correspondente), Bo Pieter Johannes Andrée (0000-0002-8007-5007, Vrije Universiteit Amsterdam), Peter Nijkamp (0000-0002-4068-8132, Open University, Heerlen, The Netherlands), Duncan Roth (0000-0003-4844-7971, IAB, Institute for Employment Research, Nurnberg, Germany)
Ano2023
Volume57
Fascículo12
Páginas2473-2490
Data de publicação2023-04-04
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoRegional Studies (JOURNAL)
Identificadores do periódicoISSN: 0034-3404 • E-ISSN: 1360-0591
EditoraRoutledge (PUBLISHER • GB)
DOI10.1080/00343404.2023.2180144
OpenAlexW4362558280
IdiomaEN
Citações recebidas3
Referências citadas51

Why are certain labour markets more resilient to economic shocks? Why are some economies deeply affected by migration? Modern migration theory remains based on simplistic neo-classical utility maximizing assumptions, despite a failure to fully answer real-world migration questions. The aim of this paper is to show that neo-classical dynamics are differentiated between subpopulations that make up the workforce. Using disaggregated data from Germany and a dynamic spatial vector autoregressive model that allows for spillovers, the paper teases out several aspects of regional labour market resilience. Results highlight that regions stand to benefit from supporting place-specific policies tailored to local circumstances

Autoregressive model · Dynamics (music · Econometrics · Economic geography · Economic growth · Economic system · Economics · Psychological resilience · Resilience (materials science · Sociology · Vector autoregression · Workforce · Regional Economics and Spatial Analysis · Regional resilience and development · Spatial and Panel Data Analysis

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Obras citantes distintas3
Citações por ano1
Intervalo de citações2023 - 2024 (2)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 3
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