Migration and the epidemiological approach: Time and self-selection into foreign ancestries matter

The epidemiological approach in comparative development uses data on individuals of immigrant origin to study cultural persistence, the determinants of cultural norms, and the effects of genetic traits. A common assumption of this methodology is its susceptibility to attenuation bias. We challenge it by demonstrating how the increasing reliance on foreign ancestries to identify respondents’ origins can introduce confounding biases. Specifically, self-selection in reporting foreign ancestry and unobserved variation in ancestral migration timing may lead to inflated estimates. We formalize these mechanisms through a theoretical framework and illustrate their empirical significance by reassessing key findings from influential studies by Fernández and Fogli (2006) and Giuliano and Nunn (2021). • The epidemiological approach relies on data on natives of foreign ancestry. • A very large share of the native population does not report any foreign ancestry. • Reporting correlates with unobserved determinants of the cultural traits. • A simple framework describes the analytical challenges for the econometric analysis. • We show the empirical relevance of these challenges with two illustrative examples.

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Publication Details

Journal
Journal of Development Economics
Published
2025-04-08
DOI
https://doi.org/10.1016/j.jdeveco.2025.103505
Citations
2
Primary Topic
Migration and Labor Dynamics
Type
article
Field-Weighted Citation Impact
8.40
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article

Migration and the epidemiological approach: Time and self-selection into foreign ancestries matter

Èric Roca Fernández, Simone Bertoli, Melchior Clerc, Jordan Loper
2 citations
Journal of Development Economics
Migration and Labor Dynamics
8.40
article

Migration and the epidemiological approach: Time and self-selection into foreign ancestries matter

Èric Roca Fernández, Simone Bertoli, Melchior Clerc, Jordan Loper
article en
2 citations

Abstract

The epidemiological approach in comparative development uses data on individuals of immigrant origin to study cultural persistence, the determinants of cultural norms, and the effects of genetic traits. A common assumption of this methodology is its susceptibility to attenuation bias. We challenge it by demonstrating how the increasing reliance on foreign ancestries to identify respondents’ origins can introduce confounding biases. Specifically, self-selection in reporting foreign ancestry and unobserved variation in ancestral migration timing may lead to inflated estimates. We formalize these mechanisms through a theoretical framework and illustrate their empirical significance by reassessing key findings from influential studies by Fernández and Fogli (2006) and Giuliano and Nunn (2021). • The epidemiological approach relies on data on natives of foreign ancestry. • A very large share of the native population does not report any foreign ancestry. • Reporting correlates with unobserved determinants of the cultural traits. • A simple framework describes the analytical challenges for the econometric analysis. • We show the empirical relevance of these challenges with two illustrative examples.

Journal of Development EconomicsVol. 176
Centre National de la Recherche Scientifique (FR), Université Clermont Auvergne (FR), Institut de Recherche pour le Développement (FR), Centre d'Études et de Recherches sur le Développement International (FR)
Reduced inequalities
Openalex Percentile: Top 4%
Migration and Labor Dynamics
8.40
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Migration and the epidemiological approach: Time and self-selection into foreign ancestries matter — Èric Roca Fernández, Simone Bertoli, et al. · Journal of Development Economics (2025) | TGRS Research Map | TGRS