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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

Bibliographic Data

ID10404992
AuthorsMasood Gheasi (0000-0002-0857-408X, University of Southampton, corresponding author), 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)
Year2023
Volume57
Issue12
Pages2473-2490
Publication date2023-04-04
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRegional Studies (JOURNAL)
Journal identifiersISSN: 0034-3404 • E-ISSN: 1360-0591
PublisherRoutledge (PUBLISHER • GB)
DOI10.1080/00343404.2023.2180144
OpenAlexW4362558280
LanguageEN
Citations received3
References cited51

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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Unique citing works3
Citations per year1
Citation span2023 - 2024 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3
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