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Educational gradients in the prevalence of Medically Assisted Reproduction (MAR) births in a comparative perspective

Author

Listed:
  • Alice Goisis
  • Peter Fallesen

    (Rockwool Foundation)

  • Marta Seiz

    (UNED)

  • Leire Salazar

    (European Commission - JRC)

  • Tatiana Eremenko
  • Marco Cozzani

    (University of FLorence)

Abstract

A handful of studies from individual countries have shown that parents of Medically Assisted Reproduction (MAR)-conceived children are more likely to have, relative to parents of naturally conceived (NC) children, higher socioeconomic status. Yet, a comparative perspective is lacking. In this paper we assess the extent to which children conceived after MAR are more likely to be born to socioeconomically advantaged mothers, measured through their level of education, and whether the gradient varies across countries with different institutional contexts, specifically Denmark, France, Spain, United Kingdom, and the United States, using national representative data and applying Linear Probability Models. Children of socioeconomically advantaged mothers are more likely to have been conceived after MAR across all contexts prior to adjustment for covariates. After adjustment, however, educational differences fully attenuate in France and the United Kingdom.

Suggested Citation

  • Alice Goisis & Peter Fallesen & Marta Seiz & Leire Salazar & Tatiana Eremenko & Marco Cozzani, 2023. "Educational gradients in the prevalence of Medically Assisted Reproduction (MAR) births in a comparative perspective," JRC Working Papers on Social Classes in the Digital Age 2023-06, Joint Research Centre.
  • Handle: RePEc:ipt:dclass:202306
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    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC132792
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    Citations

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    Cited by:

    1. Marco Cozzani & Maria Elisabetta Coccia & Emilia Giusti & Sara Landini & Francesca Piazzini & Valentina Tocchioni & Daniele Vignoli, 2024. "No socio-economic differences in ART treatment success: Evidence from Careggi Hospital, Italy," Econometrics Working Papers Archive 2024_04, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    2. Brini, Elisa & Borgen, Solveig Topstad & Borgen, Nicolai T., 2023. "Avoiding the eyeballing fallacy: Visualizing statistical differences between estimates using the pheatplot command," SocArXiv fghcd, Center for Open Science.

    More about this item

    Keywords

    Medically Assisted Reproduction; population-based studies; social inequality; comparative perspective;
    All these keywords.

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