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Improved measures for the cross-national comparison of age profiles of internal migration

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  • Aude Bernard
  • Martin Bell
  • Elin Charles-Edwards

Abstract

We develop and demonstrate the application of a concise set of measures intended to encapsulate key features of the age profile of internal migration and highlight the significant differences that exist between nations in these profiles. Model schedules have been the most common method of comparing internal migration patterns but issues related to the estimation and interpretation of their parameters hinder their use for cross-national comparison. We demonstrate that the interpretation of exponential coefficients as rates of ascent and descent does not best reflect the slopes of migration age profiles, and we propose more consistent measures based on the rate of change in migration intensity. We demonstrate, through correlation and factor analysis, that most of the inter-country variance in migration age profiles is captured by the age at and intensity of peak migration. The application of these two indicators to 25 countries reveals significant differences between regions.

Suggested Citation

  • Aude Bernard & Martin Bell & Elin Charles-Edwards, 2014. "Improved measures for the cross-national comparison of age profiles of internal migration," Population Studies, Taylor & Francis Journals, vol. 68(2), pages 179-195, July.
    • Handle: RePEc:taf:rpstxx:v:68:y:2014:i:2:p:179-195
    DOI: 10.1080/00324728.2014.890243
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    Citations

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    Cited by:

    1. Aude Bernard, 2017. "Cohort Measures of Internal Migration: Understanding Long-Term Trends," Demography, Springer;Population Association of America (PAA), vol. 54(6), pages 2201-2221, December.
    2. Aude Bernard & Martin Bell & Elin Charles-Edwards, 2014. "Life-Course Transitions and the Age Profile of Internal Migration," Population and Development Review, The Population Council, Inc., vol. 40(2), pages 213-239, June.
    3. Aude Bernard & Martin Bell, 2018. "Internal migration and education: A cross-national comparison," Papers 1812.08913, arXiv.org.
    4. Aude Bernard & Francisco Rowe & Martin Bell & Philipp Ueffing & Elin Charles-Edwards, 2017. "Comparing internal migration across the countries of Latin America: A multidimensional approach," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-24, March.
    5. Aude Bernard & Martin Bell & Elin Charles-Edwards, 2016. "Internal migration age patterns and the transition to adulthood: Australia and Great Britain compared," Journal of Population Research, Springer, vol. 33(2), pages 123-146, June.
    6. Aude Bernard & Martin Bell, 2015. "Smoothing internal migration age profiles for comparative research," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(33), pages 915-948.
    7. Vegard Skirbekk & Michaela PotanÄ oková & Conrad Hackett & Marcin Stonawski, 2018. "Religious Affiliation Among Older Age Groups Worldwide: Estimates for 2010 and Projections Until 2050," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 73(8), pages 1439-1445.
    8. Drobne Samo & Drešček Urška, 2019. "Impact of Internal Migration on Population Redistribution in Slovenia," Business Systems Research, Sciendo, vol. 10(2), pages 49-60, September.
    9. Aude Bernard & Alina Pelikh, 2019. "Distinguishing tempo and ageing effects in migration," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(44), pages 1291-1322.
    10. Sen Li & Jianfa Shen, 2024. "Dynamics of Intercity Migration Propensity in China: Evidence from an Age-Period-Cohort Analysis," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 43(5), pages 1-24, October.
    11. Thiede, Brian C. & Robinson, Abbie & Gray, Clark, 2022. "Climatic Variability and Internal Migration in Asia: Evidence from Integrated Census and Survey Microdata," SocArXiv hxv35, Center for Open Science.

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