• Graduate Program
  • Research
  • Browse our Courses
  • Events
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • Summer School
      • Deep Learning
      • Economics of Blockchain and Digital Currencies
      • Foundations of Machine Learning with Applications in Python
      • Marketing Research with Purpose
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Tinbergen Institute Summer School Program
    • Annual Tinbergen Institute Conference archive
  • News
  • Summer School
    • Deep Learning
    • Economics of Blockchain and Digital Currencies
    • Foundations of Machine Learning with Applications in Python
    • Marketing Research with Purpose
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
  • Alumni

Gheasi, M., Andrée, B.P.J., Nijkamp, P. and Roth, D. (2023). Internal migration dynamics of native and foreign workers: an impulse–response analysis of perturbation and resilience by means of a spatial vector autoregressive model Regional Studies, 57(12):2473--2490.


  • Affiliated author
    Bo Andree
  • Publication year
    2023
  • Journal
    Regional Studies

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.