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Panel Data in Research on Mobility and Migration: A Review of Recent Advances

Author

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  • Vidal, Sergi
  • Lersch, Philipp M.

Abstract

Panel data has become the gold standard for causal assessments of complex human behaviour in quantitative social science. The objective of this review is to examine and discuss how panel data and related methods contribute to the identification of causal relationships in spatial mobility research. We illustrate this by providing a succinct overview of recent progress in spatial mobility research, drawing on panel data. The review outlines research from a number of scholarly disciplines that maps patterns, establishes determinants and assesses the impact of spatial mobility for a range of outcomes. Studies presented in this article are used to decipher complex interdependencies over the life course, scrutinise the selectivity of migrants, and shed light on the interplay between individual agency, social embeddedness and socio-structural contexts. The article concludes with a set of critical issues for future research.

Suggested Citation

  • Vidal, Sergi & Lersch, Philipp M., 2021. "Panel Data in Research on Mobility and Migration: A Review of Recent Advances," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 46, pages 187-214.
    • Handle: RePEc:zbw:espost:235708
    DOI: 10.12765/CPoS-2021-07
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    References listed on IDEAS

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    1. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521828284, January.
    2. Clara Mulder, 2018. "Putting family centre stage: Ties to nonresident family, internal migration, and immobility," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 39(43), pages 1151-1180.
    3. Silvia Maja Melzer & Thomas Hinz, 2019. "The role of education and educational–occupational mismatches in decisions regarding commuting and interregional migration from eastern to western Germany," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(16), pages 461-476.
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    6. Pablo Acosta, 2020. "Intra-Household Labour Allocation, Migration, and Remittances in Rural El Salvador," Journal of Development Studies, Taylor & Francis Journals, vol. 56(5), pages 1030-1047, May.
    7. Mueller, Valerie & Sheriff, Glenn & Dou, Xiaoya & Gray, Clark, 2020. "Temporary migration and climate variation in eastern Africa," World Development, Elsevier, vol. 126(C).
    8. Sedova, Barbora & Kalkuhl, Matthias, 2020. "Who are the climate migrants and where do they go? Evidence from rural India," World Development, Elsevier, vol. 129(C).
    9. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521535380, January.
    10. Pratikshya Bohra-Mishra & Douglas Massey, 2011. "Individual Decisions to Migrate During Civil Conflict," Demography, Springer;Population Association of America (PAA), vol. 48(2), pages 401-424, May.
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    Cited by:

    1. Giovanis, Eleftherios & Akdede, Sacit Hadi, 2022. "The socio-cultural integration of immigrants in Germany: changes across generations," MPRA Paper 115679, University Library of Munich, Germany.
    2. Aude Bernard & Tom Wilson & Anthony Kimpton & Neil Argent & Tomasz Zając & Jing Wu, 2024. "The pitfalls and benefits of using administrative data for internal migration research: An evaluation of Australia’s Person Level Integrated Data Asset (PLIDA)," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 51(22), pages 687-722.
    3. Nazareno Panichella & Stefano Cantalini, 2023. "Is Geographical Mobility Beneficial? The Impact of the South-to-North Internal Migration on Occupational Achievement in Italy," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(5), pages 1-22, October.

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