Evidence map›Paper›PMID 34362385›Full record

ArticleEmerging themes in epidemiology2021

A detailed explanation and graphical representation of the Blinder-Oaxaca decomposition method with its application in health inequalities.

Ebrahim Rahimi, Seyed Saeed Hashemi Nazari

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Article in Emerging themes in epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

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93citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

93 citing papers in PubMed.

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  5. Racialized Economic Segregation and Disparities in the Risk of Stillbirth.Journal of racial and ethnic health disparities · 2026
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  8. Causal Inference in Health Disparities Research.Annual review of public health · 2026
    Review
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  16. Observational
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  20. Article

33 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Ebrahim RahimiDepartment of Public Health, Mamasani Higher Education Complex for Health, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID https://orcid.org/0000-0002-2014-2466
Seyed Saeed Hashemi NazariPrevention of Cardiovascular Disease Research Center, Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Velenjak St., Chamran Highway, Tehran, Iran. saeedh_1999@yahoo.com.ORCID https://orcid.org/0000-0002-0883-3408

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper introduces the Blinder-Oaxaca decomposition method to be applied in explaining inequality in health outcome across any two groups. In order to understand every aspect of the inequality, multiple regression model can be used in a way to decompose the inequality into contributing factors. The method can therefore be indicated to what extent of the difference in mean predicted outcome between two groups is due to differences in the levels of observable characteristics (acceptable and fair). Assuming the identical characteristics in the two groups, the remaining inequality can be due to differential effects of the characteristics, maybe discrimination, and unobserved factors that not included in the model. Thus, using the decomposition methods can identify the contribution of each particular factor in moderating the current inequality. Accordingly, more detailed information can be provided for policy-makers, especially concerning modifiable factors. The method is theoretically described in detail and schematically presented. In the following, some criticisms of the model are reviewed, and several statistical commands are represented for performing the method, as well. Furthermore, the application of it in the health inequality with an applied example is presented.

Indexed as

Contributing factorsDecomposition methodsHealth Inequality

Identifiers

PMID34362385
PMCPMC8343972

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.