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@ARTICLE{FrentzGllnitz:281837,
author = {Frentz-Göllnitz, Maximilian and Remund, Adrien and van der
van der Hoeven, Ernst and Harmsen, Carel and Doblhammer,
Gabriele and Janssen, Fanny},
title = {{R}egional {D}isparities in {L}ife {E}xpectancy in the
{N}etherlands and the {R}ole of {I}nternal {M}igration},
journal = {Population, space and place},
volume = {31},
number = {8},
issn = {1544-8444},
address = {New York, NY [u.a.]},
publisher = {Wiley-Blackwell},
reportid = {DZNE-2025-01217},
pages = {e70134},
year = {2025},
abstract = {Whereas longevity differences between movers and stayers
are well-known, the impact of migration on regional
disparities in longevity remains understudied. We estimated
the contribution of internal migration to regional life
expectancy levels and disparities across the Netherlands,
thereby assessing the importance of different age groups. We
used mortality and demographic data by internal migrant
status, COROP (NUTS-3) region, age and sex from the Dutch
population register, including the native population aged
10+ in 2015–2019. We compared regional disparities in life
expectancy at age 10 (e10) for the observed population and
hypothetical ‘no-migration’ population using each
individual's place of residence 10 years earlier. We also
applied age-decomposition methods. The range in e10 across
the 40 COROP regions was 2.22 years for males and 2.54 years
for females. Artificially putting movers back into their
region of origin yielded differences in regional e10 of
between −0.2 to 0.3 years for males and −0.5 to 0.3
years for females, and – on average – $1.65\%$ (males)
and $4.17\%$ (females) reduced regional disparities in
population-weighted standard deviation of e10. The age
groups that contributed most to the difference in regional
disparities in e10 between the observed and the hypothetical
situation were 65+ and 10–29 for males, and 30–64 and
65+ for females. The small impact of internal migration on
regional disparities in e10 is likely due to the low
proportion of movers. Causal effects (socioeconomic
composition, health behaviour prevalence) appear more
important in determining regional life expectancy
disparities in the Netherlands than selection effects.},
cin = {AG Doblhammer},
ddc = {910},
cid = {I:(DE-2719)1012002},
pnm = {354 - Disease Prevention and Healthy Aging (POF4-354)},
pid = {G:(DE-HGF)POF4-354},
typ = {PUB:(DE-HGF)16},
doi = {10.1002/psp.70134},
url = {https://pub.dzne.de/record/281837},
}