Leaving for life: using online crowd-sourced genealogies to estimate the migrant mortality advantage for the United Kingdom and Ireland during the 18th and 19th centuries

Pojman, E., Mwedzi, D.E., Olaya Bucaro, O. ORCID: https://orcid.org/0000-0002-9847-1374, Zhang, S., Chong, M., Alexander, M., & Alburez-Gutierrez, D. (2023). Leaving for life: using online crowd-sourced genealogies to estimate the migrant mortality advantage for the United Kingdom and Ireland during the 18th and 19th centuries. Max Planck Institute for Demographic Research 10.4054/MPIDR-WP-2023-050.

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Abstract

Demographic studies consistently find a mortality advantage among migrants, but a lack of longitudinal data tracking individuals across national borders has limited the study of historical international migration. To address this gap, we use the crowd-sourced online genealogical database Familinx to estimate the migrant mortality advantage for migrants from the United Kingdom and Ireland between 1750 and 1910. We compare age at death for non-migrants and migrants to Canada, the United States, South Africa, New Zealand, and Australia using mixed-effects regression models that account for unobserved factors shared between siblings. Results suggest an overall expected migrant advantage of 5.9 years, 95% CI [5.7, 6.2] even after accounting for between-family variation, with migrants estimated to live an additional 2.6 [1.1, 4.0] to 8.7 [6.3, 11.2] years depending on the country of destination. This study contributes to the understanding of the migrant mortality advantage in a historical context and shows the potential for online genealogies to contribute to demographic research.

Item Type:	Other
Uncontrolled Keywords:	crowd-sourced genealogies, migrant mortality advantage, United Kingdom, Ireland, sibling effects
Research Programs:	Population and Just Societies (POPJUS) Population and Just Societies (POPJUS) > Multidimensional Demographic Modeling (MDM)
Depositing User:	Luke Kirwan
Date Deposited:	14 Dec 2023 10:01
Last Modified:	14 Dec 2023 10:01
URI:	https://pure.iiasa.ac.at/19272

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