Methodological approaches to structural change: epidemiology and the case for reparations

Scholars, activists, and policymakers have long called for reparations-a process of repair and restitution for harm and injustices done-to descendants of enslaved Africans in the United States as a structural intervention to address historic and ongoing injustices. However, there has been very limited epidemiologic work examining reparations. We explore some of the epidemiologic benefits and challenges of using causal inference frameworks to model reparations as an example of a large-scale, structural intervention that pushes the limits of what is considered "well-defined" and may violate key identification assumptions. Finally, we weigh these methodological limitations with the utility of assessing public health implications of reparations policies and conclude by discussing implications for future epidemiologic research. This article is part of a Special Collection on Methods in Social Epidemiology.

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Publication Details

Journal
American Journal of Epidemiology
Published
2024-09-02
DOI
https://doi.org/10.1093/aje/kwae336
Citations
1
Primary Topic
Health and Conflict Studies
Type
article
Field-Weighted Citation Impact
0.85

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article

Methodological approaches to structural change: epidemiology and the case for reparations

Kathryn E. W. Himmelstein, Mary T. Bassett, Joy Shi, Jourdyn A. Lawrence et al.
1 citations
American Journal of Epidemiology
Health and Conflict Studies
0.85
article

Methodological approaches to structural change: epidemiology and the case for reparations

Kathryn E. W. Himmelstein, Mary T. Bassett, Joy Shi, Jourdyn A. Lawrence, Justin M. Feldman, Jaquelyn L. Jahn
article en
1 citations

Abstract

Scholars, activists, and policymakers have long called for reparations-a process of repair and restitution for harm and injustices done-to descendants of enslaved Africans in the United States as a structural intervention to address historic and ongoing injustices. However, there has been very limited epidemiologic work examining reparations. We explore some of the epidemiologic benefits and challenges of using causal inference frameworks to model reparations as an example of a large-scale, structural intervention that pushes the limits of what is considered "well-defined" and may violate key identification assumptions. Finally, we weigh these methodological limitations with the utility of assessing public health implications of reparations policies and conclude by discussing implications for future epidemiologic research. This article is part of a Special Collection on Methods in Social Epidemiology.

American Journal of EpidemiologyVol. 194(5)
Harvard University (US), Massachusetts General Hospital (US), Center for Health and Gender Equity (US), Drexel University (US)
National Institutes of Health
Good health and well-being
Openalex Percentile: Top 22%
Health and Conflict Studies
0.85
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