Tag Archives | Educational Attainment

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Educational systems that separate students into curriculum tracks later may place less emphasis on socioeconomic family background and allow individuals’ personal skills and interests more time to manifest. We tested whether postponing tracking from age 11 to 16 results in stronger genetic prediction of education across a population, exploiting the natural experiment of the Finnish comprehensive school reform between 1972 and 1977. The association between polygenic score of education and achieved education strengthened after the reform by one-third among men and those from low-educated families. We observed no evidence for reform effect among women or those from high-educated families. The first cohort experiencing the new system had the strongest increases. From the perspective of genetic prediction, the school reform promoted equality of opportunity and optimal allocation of human capital. The results also suggest that turbulent circumstances, including puberty or ongoing restructuring of institutional practices, may strengthen genetic associations in education.

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

Hannu Lahtinen: Population Research Unit, University of Helsinki; Max Planck – University of Helsinki Center for Social Inequalities in Population Health, Helsinki, Finland
E-mail: hannu.lahtinen@helsinki.fi

Pekka Martikainen: Population Research Unit, University of Helsinki; Max Planck Institute for Demographic Research, Rostock, Germany; Max Planck – University of Helsinki Center for Social Inequalities in Population Health, Helsinki, Finland
E-mail: pekka.martikainen@helsinki.fi

Kaarina Korhonen: Population Research Unit, University of Helsinki; Max Planck – University of Helsinki Center for Social Inequalities in Population Health, Helsinki, Finland
E-mail: kaarina.korhonen@helsinki.fi

Tim Morris: Centre for Longitudinal Studies, Social Research Institute, University College London
E-mail: t.t.morris@ucl.ac.uk

Mikko Myrskylä: Max Planck Institute for Demographic Research, Rostock, Germany; University of Helsinki, Helsinki, Finland; Max Planck – University of Helsinki Center for Social Inequalities in Population Health, Rostock, Germany and Helsinki, Finland
E-mail: myrskyla@demogr.mpg.de

Acknowledgements: Special thanks for Aysu Okbay for providing education GWAS summary results excluding overlapping samples. We also thank the Finnish National Agency for Education for providing municipal-specific school-reform implementation years. The genetic samples used for the research were obtained from the THL Biobank (study number: THLBB2020_8), and we thank all study participants for their generous participation in the THL Biobank.

Replication Package: Instructions for data access and code to reproduce the analysis can be found at https://github.com/halahti/SocSci23

Citation: Lahtinen, Hannu, Pekka Martikainen, Kaarina Korhonen, Tim Morris, and Mikko Myrskylä. 2024. “Educational tracking and the polygenic prediction of education.” Sociological Science 11: 186-213.
Received: September 19, 2023
Accepted: October 31, 2023
Editors: Arnout van de Rijt, Nan Dirk de Graaf
DOI: 10.15195/v11.a8

Why Does Parental Divorce Lower Children’s Educational Attainment? A Causal Mediation Analysis

By Parker Webservices on April 16, 2019 in Articles

Jennie E. Brand, Ravaris Moore, Xi Song, Yu Xie

Sociological Science, April 16, 2019
10.15195/v6.a11

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Mechanisms explaining the negative effects of parental divorce on children’s attainment have long been conjectured and assessed. Yet few studies of parental divorce have carefully attended to the assumptions and methods necessary to estimate causal mediation effects. Applying a causal framework to linked U.S. panel data, we assess the degree to which parental divorce limits children’s education among whites and nonwhites and whether observed lower levels of educational attainment are explained by postdivorce family conditions and children’s skills. Our analyses yield three key findings. First, the negative effect of divorce on educational attainment, particularly college, is substantial for white children; by contrast, divorce does not lower the educational attainment of nonwhite children. Second, declines in family income explain as much as one- to two-thirds of the negative effect of parental divorce on white children’s education. Family instability also helps explain the effect, particularly when divorce occurs in early childhood. Children’s psychosocial skills explain about one-fifth of the effect, whereas children’s cognitive skills play a minimal role. Third, among nonwhites, the minimal total effect on education is explained by the offsetting influence of postdivorce declines in family income and stability alongside increases in children’s psychosocial and cognitive skills.

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

Jennie E. Brand: Departments of Sociology and Statistics, University of California, Los Angeles; California Center for Population Research; and Center for Social Statistics
E-mail: brand@soc.ucla.edu

Ravaris Moore: Department of Sociology, Loyola Marymount University
E-mail: ravaris.moore@lmu.edu

Xi Song: Department of Sociology, University of Chicago
E-mail: xisong@uchicago.edu

Yu Xie: Department of Sociology, Princeton University
E-mail: yuxie@princeton.edu

Acknowledgements: Versions of this article were presented at Yale University; the University of Michigan; Stanford University; the University of Pennsylvania; Princeton University; Harvard University; the University of California, Irvine; the International Sociological Association Research Committee on Social Stratification and Mobility (RC28), and Population Association of America. We thank Elizabeth Thomson for useful comments on a prior version of this article. The National Institutes of Health (grant R01 HD07460301A1) provided financial support for this research. J. E. B. and R. M. benefited from facilities and resources provided by the California Center for Population Research at the University of California, Los Angeles, which receives core support (P2C-HD041022) from the Eunice Kennedy Shriver National Institute of Child Health and Human Development. The ideas expressed herein are those of the authors.

Citation: Brand, Jennie E., Ravaris Moore, Xi Song, and Yu Xie. 2019. “Why Does Parental Divorce Lower Children’s Educational Attainment? A Causal Mediation Analysis.” Sociological Science 6: 264-292.
Received: January 25, 2019
Accepted: February 24, 2019
Editors: Jesper Sørensen, Olav Sorenson
DOI: 10.15195/v6.a11

Schools as Moderators of Genetic Associations with Life Course Attainments: Evidence from the WLS and Add Health

By Parker Webservices on August 2, 2018 in Articles

Sam Trejo, Daniel W Belsky, Jason D. Boardman, Jeremy Freese, Kathleen Mullan Harris, Pam Herd, Kamil Sicinski, Benjamin W. Domingue

Sociological Science, August 2, 2018
10.15195/v5.a22

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Genetic variants identified in genome-wide association studies of educational attainment have been linked with a range of positive life course development outcomes. However, it remains unclear whether school environments may moderate these genetic associations. We analyze data from two biosocial surveys that contain both genetic data and follow students from secondary school through mid- to late life. We test if the magnitudes of the associations with educational and occupational attainments varied across the secondary schools that participants attended or with characteristics of those schools. Although we find little evidence that genetic associations with educational and occupational attainment varied across schools or with school characteristics, genetic associations with any postsecondary education and college completion were moderated by school-level socioeconomic status. Along similar lines, we observe substantial between-school variation in the average level of educational attainment students achieved for a fixed genotype. These findings emphasize the importance of social context in the interpretation of genetic associations. Specifically, our results suggest that though existing measures of individual genetic endowment have a linear relationship with years of schooling that is relatively consistent across school environments, school context is crucial in connecting an individual’s genotype to his or her likelihood of crossing meaningful educational thresholds.

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

Sam Trejo: Graduate School of Education, Stanford University
E-mail: samtrejo@stanford.edu.

Daniel W. Belsky: Duke University School of Medicine and Social Science Research Institute
E-mail: dbelsky@duke.edu

Jason D. Boardman: Institute of Behavioral Science and Sociology Department, University of Colorado Boulder
E-mail: boardman@colorado.edu

Jeremy Freese: Department of Sociology, Stanford University
E-mail: jfreese@stanford.edu

Kathleen Mullan Harris: Department of Sociology and Carolina Population Center, University of North Carolina at Chapel Hill
E-mail: kathie_harris@unc.edu

Pam Herd: Department of Sociology and La Folette School of Public Affairs, University of Wisconsin–Madison
E-mail: pherd@lafollette.wisc.edu

Kamil Sicinski: Center for Demography of Health and Aging, University of Wisconsin–Madison.
E-mail: ksicinsk@ssc.wisc.edu

Benjamin W. Domingue: Graduate School of Education, Stanford University
E-mail: bdomingue@stanford.edu

Acknowledgements: This work has been supported (in part) by award 96-17-04 from the Russell Sage Foundation and the Ford Foundation, the National Science Foundation Graduate Research Fellowship Program under grant DGE-1656518 (Trejo), the Institute of Education Sciences under grant R305B140009 (Trejo), and a Jacobs Foundation Early Career Research Fellowship (Belsky). This research uses Add Health GWAS data funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development grant R01 HD073342 to Kathleen Mullan Harris and the Eunice Kennedy Shriver National Institute of Child Health and Human Development and National Institutes of Health grant R01 HD060726 to Harris, Boardman, and McQueen. Add Health is a program project directed by Kathleen Mullan Harris and designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris at the University of North Carolina at Chapel Hill; it is funded by grant P01 HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development with cooperative funding from 23 other federal agencies and foundations. The Wisconsin Longitudinal Study is directed by Pamela Herd, and the work conducted herein was supported by the National Institute on Aging (R01 AG041868-01A1 and P30 AG017266). This research benefitted from GWAS results made available by the Social Science Genetic Association Consortium. Any opinions expressed are those of the author(s) alone and should not be construed as representing the opinions of each foundation.

Citation: Trejo, Sam, Daniel W. Belsky, Jason D. Boardman, Jeremy Freese, Kathleen Mullan Harris, Pam Herd, Kamil Sicinski, and Benjamin W. Domingue. 2018. “Schools as Moderators of Genetic Associations with Life Course Attainments: Evidence from the WLS and Add Health.” Sociological Science 5: 513-540.
Received: March 20, 2018
Accepted: April 16, 2018
Editors: Kim Weeden
DOI: 10.15195/v5.a22

The Sources of Life Chances: Does Education, Class Category, Occupation, or Short-Term Earnings Predict 20-Year Long-Term Earnings?

By Parker Webservices on March 21, 2018 in Articles

ChangHwan Kim, Christopher R. Tamborini, Arthur Sakamoto

Sociological Science, March 21, 2018
DOI 10.15195/v5.a9

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In sociological studies of economic stratification and intergenerational mobility, occupation has long been presumed to reflect lifetime earnings better than do short-term earnings. However, few studies have actually tested this critical assumption. In this study, we investigate the cross-sectional determinants of 20-year accumulated earnings using data that match respondents in the Survey of Income and Program Participation to their longitudinal earnings records based on administrative tax information from 1990 to 2009. Fit statistics of regression models are estimated to assess the predictive power of various proxy variables, including occupation, education, and short-term earnings, on cumulative earnings over the 20-year time period. Contrary to the popular assumption in sociology, our results find that cross-sectional earnings have greater predictive power on long-term earnings than occupation-based class classifications, including three-digit detailed occupations for both men and women. The model based on educational attainment, including field of study, has slightly better fit than models based on one-digit occupation or the Erikson, Goldthorpe, and Portocarero class scheme. We discuss the theoretical implications of these findings for the sociology of stratification and intergenerational mobility.

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

ChangHwan Kim: Department of Sociology, University of Kansas
Email: chkim@ku.edu

Christopher R. Tamborini: Office of Retirement Policy, U.S. Social Security Administration
Email: chris.tamborini@ssa.gov

Arthur Sakamoto: Department of Sociology, Texas A&M University
Email: asakamoto@tamu.edu

Acknowledgements: The views expressed in this article are those of the authors and do not represent the views of the Social Security Administration (SSA). Access to SSA data linked to Census Bureau survey data is subject to restrictions imposed by Title 13 of the U.S. Code. The data are accessible at a secured site such as the Federal Statistical Research Data Centers (https://www.census.gov/fsrdc) and must undergo disclosure review before their release. For researchers with access to these data, the computer programs used in this analysis are available upon request.

Citation: Kim, ChangHwan, Christopher R. Tamborini, and Arthur Sakamoto. 2018. “The Sources of Life Chances: Does Education, Class Category, Occupation or Short-Term Earnings Predict 20-Year Long-Term Earnings?” Sociological Science 5:206-233.
Received: December 19, 2017
Accepted: February 6, 2018
Editors: Jesper Sørensen, Kim Weeden
DOI: 10.15195/v5.a9

Persistent Educational Advantage Across Three Generations: Empirical Evidence for Germany

By Parker Webservices on December 12, 2016 in Articles

Andrea Ziefle

Sociological Science, December 12, 2016
DOI 10.15195/v3.a47

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This article uses survey data from the German Socio-Economic Panel (GSOEP) to analyze the persistence of educational attainment across three generations in Germany. I obtain evidence of a robust effect of grandparents’ education on respondents’ own educational attainment in West Germany, net of parental class, education, occupational status, family income, parents’ relationship history, and family size. I also test whether the grandparent effect results from resource compensation or cumulative advantage and find empirical support for both mechanisms. In comparison, the intergenerational association between grandparents’ and respondents’ education is considerably weaker in East Germany and is also mediated completely by parental education. There are hardly any gender differences in the role of grandparents for respondents’ educational attainment, except for the fact that resource compensation is found to be exclusively relevant for women’s attainment in both West Germany and in East Germany after German reunification and the associated transition to an open educational system.

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

Andrea Ziefle: School of Social Sciences (FB03), Goethe-University Frankfurt am Main
Email: aziefle@soz.uni-frankfurt.de

Acknowledgements: The data from the German Socio-Economic Panel survey have kindly been made available by the German Institute for Economic Research (DIW), Berlin. DIW bears no responsibility for the uses made of the data in the analyses reported in the present manuscript. This research has been supported by a research grant from the German Science Foundation (DFG) to the author for her project, “Family background and women’s changing life courses” (ZI 1495/1-1). I thank Markus Gangl for valuable comments on my work.

Citation: Ziefle, Andrea. 2016. “Persistent Educational Advantage Across Three Generations: Empirical Evidence for Germany.” Sociological Science 3: 1077-1102.
Received: September 14, 2016
Accepted: October 6, 2016
Editors: Jesper Sørensen, Kim Weeden
DOI: 10.15195/v3.a47

The Bell Curve Revisited: Testing Controversial Hypotheses with Molecular Genetic Data

By Parker Webservices on July 5, 2016 in Articles

Dalton Conley, Benjamin Domingue

Sociological Science, July 5, 2016
DOI 10.15195/v3.a23

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In 1994, the publication of Herrnstein’s and Murray’s The Bell Curve resulted in a social science maelstrom of responses. In the present study, we argue that Herrnstein’s and Murray’s assertions were made prematurely, on their own terms, given the lack of data available to test the role of genotype in the dynamics of achievement and attainment in U.S. society. Today, however, the scientific community has access to at least one dataset that is nationally representative and has genome-wide molecular markers. We deploy those data from the Health and Retirement Study in order to test the core series of propositions offered by Herrnstein and Murray in 1994. First, we ask whether the effect of genotype is increasing in predictive power across birth cohorts in the middle twentieth century. Second, we ask whether assortative mating on relevant genotypes is increasing across the same time period. Finally, we ask whether educational genotypes are increasingly predictive of fertility (number ever born [NEB]) in tandem with the rising (negative) association of educational outcomes and NEB. The answers to these questions are mostly no; while molecular genetic markers can predict educational attainment, we find little evidence for the proposition that we are becoming increasingly genetically stratified.

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

Dalton Conley: Department of Sociology, Princeton University
Email: dconley@princeton.edu

Benjamin Domingue: Graduate School of Education, Stanford University
Email: bdomingue@stanford.edu

Acknowledgements: Funding for this study was provided by the Russell Sage Foundation, Grant 83-15-29. This research uses data from the HRS, which is sponsored by the National Institute on Aging (Grants NIA U01AG009740, RC2AG036495, and RC4AG039029) and conducted by the University of Michigan.

Citation: Conley, Dalton, and Benjamin Domingue. 2016. “The Bell Curve Revisited: Testing Controversial Hypotheses with Molecular Genetic Data.” Sociological Science 3: 520-539.
Received: January 19, 2016
Accepted: February 22, 2016
Editors: Stephen Morgan
DOI: 10.15195/v3.a23

Age Trajectories of Poverty During Childhood and High School Graduation

By Jesper Sorensen on September 1, 2014 in Articles

Dohoon Lee

Sociological Science, September 1, 2014
DOI 10.15195/v1.a21

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This article examines distinct trajectories of childhood exposure to poverty and provides estimates of their effect on high school graduation. The analysis incorporates three key insights from the life course and human capital formation literatures: (1) the temporal dimensions of exposure to poverty, that is, timing, duration, stability, and sequencing, are confounded with one another; (2) age-varying exposure to poverty not only affects, but also is affected by, other factors that vary with age; and (3) the effect of poverty trajectories is heterogeneous across racial and ethnic groups. Results from the Children of the National Longitudinal Survey of Youth show that any extended exposures to poverty substantially lower children’s odds of graduating from high school. Persistent, early, and middle-to-late childhood exposures to poverty reduce the odds of high school graduation by 77 percent, 55 percent, and 58 percent, respectively, compared to no childhood exposure to poverty. The findings thus suggest that the impact of poverty trajectories is insensitive to observed age-varying confounders. These impacts are more pronounced for white children than for black and Hispanic children.

Dohoon Lee:New York University. E-mail: dl111@nyu.edu