Over-coverage in population registers leads to bias in demographic estimates

Monti, Andrea; Drefahl, Sven; Mussino, Eleonora; Härkönen, Juho

doi:10.1080/00324728.2019.1683219

Cited by 32 publications

(40 citation statements)

References 20 publications

(23 reference statements)

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“…However, large differences exist between groups, with higher unregistered emigrations in groups born outside Europe. In general, unregistered emigrations follow the same patterns as the registered ones, which means that in groups in which emigrations are high, they are probably even higher than recorded (Monti, Drefahl, Mussino, & Härkönen, ).…”

Section: Methodsmentioning

confidence: 71%

Re‐emigration of foreign‐born residents from Sweden: 1990–2015

Monti

2019

Population Space and Place

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This paper is an analysis of patterns and determinants of return and onward migration among foreign‐born individuals residing in Sweden from 1990 to 2015. Who is emigrating, and where do they go? What are the determinants of return and onward migration? Increased diversity in international migration flows includes an increase in repeat migration. However, studies of re‐emigration have often failed to appropriately distinguish emigration types and have traditionally been limited to economic analysis of labour migrants. Using high‐quality register data from Sweden, this paper analyses re‐emigration through the conditions upon first immigration and evolving social and economic integration in the host country. Although return migration is found to be the main form of remigration type, onward migration is more prominent among specific migrant groups such as forced migrants. Additionally, various determinants of return and onward migration stress the importance of treating them as distinct phenomena within the migration literature.

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Section: Methodsmentioning

confidence: 71%

Re‐emigration of foreign‐born residents from Sweden: 1990–2015

Monti

2019

Population Space and Place

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“…This permits a thorough and detailed examination of how migrant mortality varies by age, including by country of birth. Moreover, we are able to build on existing research on over-coverage in Sweden, as several approaches for adjusting for over-coverage are already available (Weitoft et al 1999;Aradhya et al 2017;Monti et al 2019). The value of our work is found in the ability to contribute to ongoing debate on what causes the migrant mortality advantage and whether empirically observed mortality differences are real or merely an artefact.…”

Section: Introductionmentioning

confidence: 99%

“…These concerns about data artefacts become even more pertinent in light of recent research on the principal source of data artefacts in mortality differentials between foreign-and native-born populations: over-coverage (Monti et al 2019). On testing three approaches for correcting for this problem in Sweden, Monti et al (2019) found the largest levels of over-coverage (i.e. the greatest number of individuals considered to have left and no longer be living in Sweden)-and therefore the largest bias in core demographic estimates among immigrants-at peak migration ages.…”

Section: Introductionmentioning

confidence: 99%

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Age variations and population over-coverage: Is low mortality among migrants merely a data artefact?

Wallace

Wilson

2021

Population Studies

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The migrant mortality advantage has been observed extensively, but its authenticity is debated. In particular, concerns persist that the advantage is an artefact of the data, generated by the problems of recording mobility among foreign-born populations. Here, we build on the intersection of two recent developments: the first showing substantial age variation in the advantage-a deep U-shaped advantage at peak migration ages-and the second showing high levels of population over-coverage, the principal source of data artefact, at the same ages. We use event history analysis of Sweden's population registers (2010-15) to test whether this over-coverage can explain age variation in the migrant mortality advantage. We document its U-shape in Sweden and, crucially, demonstrate that large mortality differentials persist after adjusting for estimated over-coverage. Our findings contribute to ongoing debate by demonstrating that the migrant mortality advantage is real and by ruling out one of its primary mechanisms.

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“…This paper sheds light on these hypotheses by providing estimates of the total fertility rates (TFRs) of migrants from low-fertility countries in a moderate-fertility country. In addition to duration of stay, it also discusses other key aspects that can affect migrants' fertility: reason for migration, age at migration, return migration, and fertility before migration (e.g., Toulemon 2004;Mussino et al 2012;Monti et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Fertility patterns of migrants from low-fertility countries in Norway

Tønnessen¹,

Mussino²

2020

DemRes

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BACKGROUND Most research on migrant fertility focuses on immigrants from high-fertility countries who have moved to countries with lower fertility. Little is known about the fertility of immigrant women from countries where fertility is lower than in the destination country. OBJECTIVE This study investigates fertility rates among women from low-fertility countries who have moved to a country where fertility is comparatively higher (Norway). METHODS Register data on immigrant women from Poland, Lithuania, and Germany are used to calculate total fertility rates by duration of stay and to explore differences between family migrants and women who migrate for other reasons, between women of different ages at arrival, and between those who emigrated again and those who remained in Norway. RESULTS Among immigrants from low-fertility countries, total fertility rates are elevated in the first years after migration. This is particularly true for women from Poland and Lithuania, who often arrive as family migrants and at peak fertility age (25 to 34 years). CONTRIBUTION The fertility among migrants from low-fertility settings is often highest right after migration, particularly if they arrive as family migrants. Women with nonfamily reasons for migration have a time lag between immigration and peak fertility. The results underscore the usefulness of taking reason for and age at migration into account when studying immigrant fertility.

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Over-coverage in population registers leads to bias in demographic estimates

Cited by 32 publications

References 20 publications

Re‐emigration of foreign‐born residents from Sweden: 1990–2015

Re‐emigration of foreign‐born residents from Sweden: 1990–2015

Age variations and population over-coverage: Is low mortality among migrants merely a data artefact?

Fertility patterns of migrants from low-fertility countries in Norway

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