Tag Archives | Fixed-Effects

The Genetics of Partnership Dissolution

Ruth Eva Jørgensen, Rosa Cheesman, Ole A. Andreassen, Torkild Hovde Lyngstad

Sociological Science January 20, 2025
10.15195/v12.a4


There is a genetic component to divorce risk, but little is known about which and how genetically influenced traits are involved. This study makes three major contributions to address these gaps. First, we link genetic data from the Norwegian Mother, Father, and Child Cohort Study (MoBa) to population register data and estimate the total influence of common genetic variants on partnership dissolution (N = 121, 408). Then, we identify heritable traits associated with partnership dissolution using event-history analysis and a broad set of polygenic indices. Finally, we assess whether associations are robust to controls for confounding in within-sibling models. Significant heritability estimates were found for both females (h2SNP = 0.09; SE = 0.01; p < 0.0001) and males (h2SNP = 0.03; SE = 0.01; p < 0.0001). Genetic dispositions for educational attainment and other sociodemographic factors decrease the probability of partnership dissolution, whereas dispositions for internalizing symptoms and risk behavior increase the likelihood of partnership dissolution. Integrating genetics and sociodemographic approaches can shed new light on the causes of partnership dynamics by helping us understand what drives the selection processes throughout the life course.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Ruth Eva Jørgensen: Department of Sociology and Human Geography, University of Oslo.*
E-mail: r.e.jorgensen@sosgeo.uio.no

Rosa Cheesman: PPROMENTA, Department of Psychology, University of Oslo
E-mail: r.c.g.cheesman@psykologi.uio.no

Ole A. Andreassen: NORMENT, Department of Clinical Medicine, University of Oslo
E-mail: ole.andreassen@medisin.uio.no

Torkild Hovde Lyngstad: Department of Sociology and Human Geography, University of Oslo
E-mail: t.h.lyngstad@sosgeo.uio.no

Acknowledgements: This research is part of the OPENFLUX project, which has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 818420). The Norwegian Mother, Father, and Child Cohort Study is supported by the Norwegian Ministry of Health and Care Services and the Ministry of Education and Research. We are grateful to all the participating families in Norway who take part in this on-going cohort study. We thank the Norwegian Institute of Public Health (NIPH) for generating high-quality genomic data. This research is part of the HARVEST collaboration, supported by the Research Council of Norway (#229624). We also thank the NORMENT Centre for providing genotype data, funded by the Research Council of Norway (#223273), Southeast Norway Health Authority, and KG Jebsen Stiftelsen. We further thank the Center for Diabetes Research, the University of Bergen, for providing genotype data and performing quality control and imputation of the data funded by the ERC AdG project SELECTionPREDISPOSED, Stiftelsen Kristian Gerhard Jebsen, Trond Mohn Foundation, the Research Council of Norway, the Novo Nordisk Foundation, the University of Bergen, and the Western Norway Health Authorities (Helse Vest). The version of the genotype data used is MobaPyschGen v1. We are very grateful to Alexandra Havdahl and Elizabeth Corfield for access to this version of the data. The authors are grateful to the Sociological Science editors and reviewers for feedback.

Supplemental Materials

Reproducibility Package: See paper for data availability statement. Access to administrative data from Statistics Norway can be applied for at Statistics Norway (https://www.ssb.no/mikrodata/) and access to MoBa Genetics can be applied for at the Norwegian Public Health Institute (https://www.fhi.no/studier/moba/). Code for data preparation and analysis is available at https://github.com/torkildl/genetics-dissolution.

  • Citation: Jørgensen, Ruth Eva, Rosa Cheesman, Ole A. Andreassen, Torkild Hovde Lyngstad. 2025. “The Genetics of Partnership Dissolution” Sociological Science 12: 76-96.
  • Received: October 24, 2024
  • Accepted: December 7, 2024
  • Editors: Arnout van de Rijt, Bart Bonikowski
  • DOI: 10.15195/v12.a4

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Do Organizational Policies Narrow Gender Inequality? Novel Evidence from Longitudinal Employer–Employee Data

Florian Zimmermann, Matthias Collischon

Sociological Science February 28, 2023
10.15195/v10.a2


Scholars have long proposed that gender inequalities in wages are narrowed by organizational policies to advance gender equality. Using cross-sectional data, scarce previous research has found an association between gender wage inequalities and these organizational policies, but it remains unclear whether this correlation represents a causal effect. We provide first evidence on this topic by using longitudinal linked employer–employee data covering almost 1,500 firms and nearly one million employee observations in Germany. We investigate whether and how organizational policies affect gender gaps using firm fixed-effects regressions. Our results show that organizational policies reduce the gender wage gap by around nine percent overall. Investigating channels, we show that this effect is entirely driven by advancing women already employed at a given firm, whereas we find no effect on firms’ composition and wages of new hires. Furthermore, we show that our findings are not driven by potential sources of bias, such as reverse causality.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Florian Zimmermann: Corresponding author. Institut für Arbeitsmarkt-und Berufsforschung (IAB), Research Department PASS; FAU Erlangen-Nuremberg
E-mail: florian.zimmermann@iab.de

Matthias Collischon: Institut für Arbeitsmarkt-und Berufsforschung (IAB), Research Department PASS
E-mail: matthias.collischon2@iab.de

Acknowledgments: We thank Ann-Christin Bächmann, Dana Müller, and Michael Oberfichtner for their helpful comments.

  • Citation: Zimmermann, Florian, and Matthias Collischon. 2023. “Do Organizational Policies Narrow Gender Inequality? Novel Evidence from Longitudinal Employer–Employee Data.” Sociological Science 10: 47-81.
  • Received: September 1, 2022
  • Accepted: October 29, 2022
  • Editors: Arnout van de Rijt, Vida Maralani
  • DOI: 10.15195/v10.a2


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Can Incarceration Really Strip People of Racial Privilege?

Lance Hannon, Robert Defina

Sociological Science, March 18, 2016
DOI 10.15195/v3.a10


We replicate and reexamine Saperstein and Penner’s prominent 2010 study which asks whether incarceration changes the probability that an individual will be seen as black or white (regardless of the individual’s phenotype). Our reexamination shows that only a small part of their empirical analysis is suitable for addressing this question (the fixed-effects estimates), and that these results are extremely fragile. Using data from the National Longitudinal Survey of Youth, we find that being interviewed in jail/prison does not increase the survey respondent’s likelihood of being classified as black, and avoiding incarceration during the survey period does not increase a person’s chances of being seen as white. We conclude that the empirical component of Saperstein and Penner’s work needs to be reconsidered and new methods for testing their thesis should be investigated. The data are provided for other researchers to explore.

Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Lance Hannon: Department of Sociology, Villanova University. Email: lance.hannon@villanova.edu

Robert DeFina: Department of Sociology, Villanova University.  Email: robert.defina@villanova.edu

  • Citation: Lance Hannon and Robert DeFina. 2015. “Can Incarceration Really Strip People of Racial Privilege?” Sociological Science 3: 190-201.
  • Received: October 16, 2015.
  • Accepted: November 28, 2015.
  • Editors: Jesper Sørensen, Kim Weeden
  • DOI: 10.15195/v3.a10

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