Hostname: page-component-6bf8c574d5-9nwgx Total loading time: 0 Render date: 2025-02-25T21:08:44.178Z Has data issue: false hasContentIssue false

Parental income moderates the influence of genetic dispositions on political interest in adolescents

Published online by Cambridge University Press:  24 February 2025

Sebastian Jungkunz*
Affiliation:
Institute of Political Science and Sociology, University of Bonn, Bonn, Germany
Paul Marx
Affiliation:
Institute of Political Science and Sociology, University of Bonn, Bonn, Germany
*
Corresponding author: Sebastian Jungkunz; Email: sebastian.jungkunz@uni-bonn.de
Get access

Abstract

The political involvement of adolescents is characterized by a substantial socioeconomic gradient already at a young age with enduring effects into adulthood. This study investigates whether high parental income creates an enhancing environment that increases the influence of genetic dispositions on political interest using the German TwinLife study (2014–2020, age 10–29, n = 6,174, 54% female, 19% migration background). While 30–40% of the total variance in political interest of twin adolescents (age 10–18) can be attributed to genetic influences, a gene–environment interaction model shows that this share is much lower among poor compared to rich families. Family fixed-effects models among early adults further show no significant effect of income differences on political interest after controlling for family background and genetic influences. This study suggests that the income gap in political participation cannot be fully understood without accounting for life cycle processes and genetic background.

Type
Research Note
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The Association for Politics and the Life Sciences

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

This article was awarded Open Data and Open Materials for transparent practices. See the data availability statement for details.

References

Abendschön, S., & Tausendpfund, M. (2017). Political knowledge of children and the role of sociostructural factors. American Behavioral Scientist, 61(2), 204221.CrossRefGoogle Scholar
Ahlskog, R. (2021). Education and voter turnout revisited: Evidence from a Swedish twin sample with validated turnout data. Electoral Studies, 69, 102186.CrossRefGoogle Scholar
Akee, R., Copeland, W., Holbein, J. B., & Simeonova, E. (2020). Human capital and voting behavior across generations: Evidence from an income intervention. American Political Science Review, 114(2), 609616.CrossRefGoogle Scholar
Alford, J. R., Funk, C. L., & Hibbing, J. R. (2005). Are political orientations genetically transmitted? American Political Science Review, 99(2), 153167.CrossRefGoogle Scholar
Arceneaux, K., Johnson, M., & Maes, H. H. (2012). The genetic basis of political sophistication. Twin Research and Human Genetics, 15(1), 3441.CrossRefGoogle ScholarPubMed
Bates, T. C., Lewis, G. J., & Weiss, A. (2013). Childhood socioeconomic status amplifies genetic effects on adult intelligence. Psychological Science, 24(10), 21112116.CrossRefGoogle ScholarPubMed
Bates, T. C., Maes, H., & Neale, M. C. (2019). umx: Twin and path-based structural equation modeling in R. Twin Research and Human Genetics, 22(1), 27–41.CrossRefGoogle ScholarPubMed
Blossfeld, H.-P. (2009). Educational assortative marriage in comparative perspective. Annual Review of Sociology, 35(1), 513530.CrossRefGoogle Scholar
Cesarini, D., Johannesson, M., & Oskarsson, S. (2014). Pre-birth factors, post-birth factors, and voting: Evidence from Swedish adoption data. American Political Science Review, 108(1), 7187.CrossRefGoogle Scholar
Christensen, K. & McGue, M. (2020). The twin representativeness assumption. Neuroscience & Biobehavioral Reviews, 112, 374375.CrossRefGoogle ScholarPubMed
Clark, A. E., D’Ambrosio, C., & Barazzetta, M. (2021). Childhood circumstances and young adulthood outcomes: The role of mothers’ financial problems. Health Economics, 30(2), 342357.CrossRefGoogle Scholar
Conley, D., Rauscher, E., Dawes, C., Magnusson, P. K. E., & Siegal, M. L. (2013). Heritability and the equal environments assumption: Evidence from multiple samples of misclassified twins. Behavior Genetics, 43(5), 415426.CrossRefGoogle ScholarPubMed
Dahl, G. B. & Lochner, L. (2012). The impact of family income on child achievement: Evidence from the earned income tax credit. American Economic Review, 102(5), 19271956.CrossRefGoogle Scholar
Dalton, R. J. (2017). The participation gap: Social status and political inequality. Oxford University Press.CrossRefGoogle Scholar
Dawes, C., Cesarini, D., Fowler, J. H., Johannesson, M., Magnusson, P. K. E., & Oskarsson, S. (2014). The relationship between genes, psychological traits, and political participation. American Journal of Political Science, 58(4), 888903.CrossRefGoogle Scholar
Deary, I. J., Batty, G. D., & Gale, C. R. (2008). Childhood intelligence predicts voter turnout, voting preferences, and political involvement in adulthood: The 1970 British cohort study. Intelligence, 36(6), 548555.CrossRefGoogle Scholar
Deth, J. W. v., Abendschön, S., & Vollmar, M. (2011). Children and politics: An empirical reassessment of early political socialization. Political Psychology, 32(1), 147174.CrossRefGoogle Scholar
Diewald, M., Kandler, C., Riemann, R., Spinath, F. M., Andreas, A., Baier, T., Bartling, A., Baum, M. A., Deppe, M., Eichhorn, H., Eifler, E. F., Gottschling, J., Hahn, E., Hildebrandt, J., Hufer, A., Instinske, J., Kaempfert, M., Klatzka, C. H., Kornadt, A. E., … Weigel, L. (2023). TwinLife. GESIS Data Archive, Cologne. ZA6701 Version Number: 7.1.0 Type: dataset.Google Scholar
Dinas, E. (2013). Opening “openness to change”: Political events and the increased sensitivity of young adults. Political Research Quarterly, 66(4), 868882.CrossRefGoogle Scholar
Dinesen, P. T., Dawes, C. T., Johannesson, M., Klemmensen, R., Magnusson, P., Nørgaard, A. S., Petersen, I., & Oskarsson, S. (2016). Estimating the impact of education on political participation: Evidence from monozygotic twins in the United States, Denmark and Sweden. Political Behavior, 38(3), 579601.CrossRefGoogle Scholar
Emmenegger, P., Marx, P., & Schraff, D. (2017). Off to a bad start: Unemployment and political interest during early adulthood. Journal of Politics, 79(1), 315328.CrossRefGoogle Scholar
Fazekas, Z., & Littvay, L. (2015). The importance of context in the genetic transmission of U.S. party identification. Political Psychology, 36(4), 361377.CrossRefGoogle Scholar
Fowler, J. H., Baker, L. A., & Dawes, C. T. (2008). Genetic variation in political participation. American Political Science Review, 102(2), 233248.CrossRefGoogle Scholar
Funk, C. L., Smith, K. B., Alford, J. R., Hibbing, M. V., Eaton, N. R., Krueger, R. F., Eaves, L. J., & Hibbing, J. R. (2013). Genetic and environmental transmission of political orientations: genetics and political orientations. Political Psychology, 34(6), 805819.CrossRefGoogle Scholar
Gallego, A. (2015). Unequal political participation worldwide. Cambridge University Press.Google Scholar
Gershoff, E. T., Aber, J. L., Raver, C. C., & Lennon, M. C. (2007). Income is not enough: Incorporating material hardship into models of income associations with parenting and child development. Child Development, 78(1), 7095.CrossRefGoogle Scholar
Hagenbeek, F. A., Hirzinger, J. S., Breunig, S., Bruins, S., Kuznetsov, D. V., Schut, K., Odintsova, V. V., & Boomsma, D. I. (2023). Maximizing the value of twin studies in health and behaviour. Nature Human Behaviour, 7(6), 849860.CrossRefGoogle ScholarPubMed
Hatemi, P. K. (2013). The influence of major life events on economic attitudes in a world of gene-environment interplay. American Journal of Political Science, 57(4), 9871007.CrossRefGoogle Scholar
Hatemi, P. K., Alford, J. R., Hibbing, J. R., Martin, N. G., & Eaves, L. J. (2009a). Is there a “party” in your genes? Political Research Quarterly, 62(3), 584600.CrossRefGoogle Scholar
Hatemi, P. K., Funk, C. L., Medland, S. E., Maes, H. M., Silberg, J. L., Martin, N. G., & Eaves, L. J. (2009b). Genetic and environmental transmission of political attitudes over a life time. The Journal of Politics, 71(3), 11411156.CrossRefGoogle Scholar
Hatemi, P. K., & McDermott, R. (2012). The genetics of politics: discovery, challenges, and progress. Trends in Genetics, 28(10), 525533.CrossRefGoogle ScholarPubMed
Holbein, J. B. (2017). Childhood skill development and adult political participation. American Political Science Review, 111(3), 572583.CrossRefGoogle Scholar
Horwitz, A. V., Videon, T. M., Schmitz, M. F., & Davis, D. (2003). Rethinking twins and environments: possible social sources for assumed genetic influences in twin research. Journal of Health and Social Behavior, 44(2), 111129.CrossRefGoogle ScholarPubMed
Hufer, A., Kornadt, A. E., Kandler, C., & Riemann, R. (2020). Genetic and environmental variation in political orientation in adolescence and early adulthood: A nuclear twin family analysis. Journal of Personality and Social Psychology, 118(4), 762776.CrossRefGoogle ScholarPubMed
Jæger, M. & Møllegaard, S. (2022). Where do cultural tastes come from? Genes, environments, or experiences. Sociological Science, 9, 252274.CrossRefGoogle Scholar
Janmaat, J. G. and Hoskins, B. (2022). The changing impact of family background on political engagement during adolescence and early adulthood. Social Forces, 101(1), 227–251.CrossRefGoogle Scholar
Jungkunz, S., & Marx, P. (2022). Income changes do not influence political involvement in panel data from six countries. European Journal of Political Research, 61(3), 829841.CrossRefGoogle Scholar
Jungkunz, S., & Marx, P. (2024). Material deprivation in childhood and unequal political socialization: The relationship between children’s economic hardship and future voting. European Sociological Review, 40(1), 7284.CrossRefGoogle Scholar
Klemmensen, R., Hatemi, P. K., Hobolt, S. B., Petersen, I., Skytthe, A., & Nørgaard, A. S. (2012a). The genetics of political participation, civic duty, and political efficacy across cultures: Denmark and the United States. Journal of Theoretical Politics, 24(3), 409427.CrossRefGoogle Scholar
Klemmensen, R., Hatemi, P. K., Hobolt, S. B., Skytthe, A., & Nørgaard, A. S. (2012b). Heritability in political interest and efficacy across cultures: Denmark and the United States. Twin Research and Human Genetics, 15(1), 1520.CrossRefGoogle ScholarPubMed
Kornadt, A. E., Hufer, A., Kandler, C., & Riemann, R. (2018). On the genetic and environmental sources of social and political participation in adolescence and early adulthood. PLOS ONE, 13(8), e0202518.CrossRefGoogle ScholarPubMed
Lahtinen, H., Erola, J., & Wass, H. (2019). Sibling similarities and the importance of parental socioeconomic position in electoral participation. Social Forces, 98(2), 702724.CrossRefGoogle Scholar
Lang, V., & Kottwitz, A. (2020). The socio-demographic structure of the first wave of the TwinLife panel study: A comparison with the microcensus. Methods, Data, Analyses, 14(1), 127154.Google Scholar
Littvay, L. (2012). Do heritability estimates of political phenotypes suffer from an equal environment assumption violation? Evidence from an empirical study. Twin Research and Human Genetics, 15(1), 614.CrossRefGoogle ScholarPubMed
Manuck, S. B. & McCaffery, J. M. (2014). Gene-environment interaction. Annual Review of Psychology, 65(1), 4170.CrossRefGoogle ScholarPubMed
Mauno, S., Cheng, T., & Lim, V. (2017). The far-reaching consequences of job insecurity: A review on family-related outcomes. Marriage & Family Review, 53(8), 717743.CrossRefGoogle Scholar
McGue, M., Osler, M., & Christensen, K. (2010). Causal inference and observational research: The utility of twins. Perspectives on Psychological Science, 5(5), 546556.CrossRefGoogle ScholarPubMed
Medland, S. E., & Hatemi, P. K. (2009). Political Science, biometric theory, and twin studies: A methodological introduction. Political Analysis, 17(2), 191214.CrossRefGoogle Scholar
Mönkediek, B., Lang, V., Weigel, L., Baum, M. A., Eifler, E. F., Hahn, E., Hufer, A., Klatzka, C. H., Kottwitz, A., Krell, K., Nikstat, A., Diewald, M., Riemann, R., & Spinath, F. M. (2019). The German twin family panel (TwinLife). Twin Research and Human Genetics, 22(6), 540547.CrossRefGoogle ScholarPubMed
Oskarsson, S., Ahlskog, R., Dawes, C. T., & Lindgren, K.-O. (2022). Persistent inequalities: The origins of intergenerational associations in voter turnout. The Journal of Politics, 84(3), 13371352.CrossRefGoogle Scholar
Plomin, R., DeFries, J. C., Knopik, V. S., & Neiderhiser, J. M. (2013). Behavioral genetics (6th ed.). Worth Publishers.Google Scholar
Pulkkinen, L., Vaalamo, I., Hietala, R., Kaprio, J., & Rose, R. J. (2003). Peer reports of adaptive behavior in twins and singletons: Is twinship a risk or an advantage? Twin Research, 6(2), 106118.CrossRefGoogle ScholarPubMed
R Core Team (2023). R: A Language and Environment for Statistical Computing. Vienna, Austria.Google Scholar
Rabin, J. S. (2021). Behavioral epigenetics: The underpinnings of political psychology. In Sinnott, J. D., & Rabin, J. S. (Eds.), The psychology of political behavior in a time of change, identity in a changing world (pp. 5596). Springer.Google Scholar
Reiss, D., Leve, L. D., & Neiderhiser, J. M. (2013). How genes and the social environment moderate each other. American Journal of Public Health, 103(S1), S111S121.CrossRefGoogle ScholarPubMed
Rowe, D. C., Jacobson, K. C., & Van den Oord, E. J. C. G. (1999). Genetic and environmental influences on vocabulary IQ: Parental education level as moderator. Child Development, 70(5), 11511162.CrossRefGoogle ScholarPubMed
Scarr, S., & Carter-Saltzman, L. (1979). Twin method: Defense of a critical assumption. Behavior Genetics, 9(6), 527542.CrossRefGoogle ScholarPubMed
Scarr-Salapatek, S. (1971). Race, social class, and IQ: Population differences in heritability of IQ scores were found for racial and social class groups. Science, 174(4016), 12851295.CrossRefGoogle Scholar
Schenck-Fontaine, A., Lansford, J. E., Skinner, A. T., Deater-Deckard, K., Giunta, L. D., Dodge, K. A., Oburu, P., Pastorelli, C., Sorbring, E., Steinberg, L., Malone, P. S., Tapanya, S., Tirado, L. M. U., Alampay, L. P., Al-Hassan, S. M., Bacchini, D., Bornstein, M. H., & Chang, L. (2020). Associations between perceived material deprivation, parents’ discipline practices, and children’s behavior problems: An international perspective. Child Development, 91(1), 307–326.CrossRefGoogle ScholarPubMed
Schlozman, K. L., Verba, S., & Brady, H. E. (2012). The unheavenly chorus: Unequal political voice and the broken promise of American democracy. Princeton University Press.Google Scholar
Shanahan, M. J. & Hofer, S. M. (2005). Social context in gene–environment interactions: Retrospect and prospect. The Journals of Gerontology: Series B, 60(Special Issue 1), 6576.CrossRefGoogle ScholarPubMed
Smith, K., Alford, J. R., Hatemi, P. K., Eaves, L. J., Funk, C., & Hibbing, J. R. (2012). Biology, ideology, and epistemology: How do we know political attitudes are inherited and why should we care? American Journal of Political Science, 56(1), 1733.CrossRefGoogle ScholarPubMed
Suhay, E., & Jayaratne, T. E. (2013). Does biology justify ideology? The politics of genetic attribution. Public Opinion Quarterly, 77(2), 497521.CrossRefGoogle ScholarPubMed
Tucker-Drob, E. M., Rhemtulla, M., Harden, K. P., Turkheimer, E., & Fask, D. (2011). Emergence of a gene × socioeconomic status interaction on infant mental ability between 10 months and 2 years. Psychological Science, 22(1), 125133.CrossRefGoogle ScholarPubMed
van Ditmars, M. M., & Ksiazkiewicz, A. (2024). The gender gap in political interest: Heritability, gendered political socialization, and the enriched environment hypothesis. Politics and the Life Sciences, 43(2), 152166.CrossRefGoogle ScholarPubMed
Verhulst, B., & Hatemi, P. K. (2013). Gene-environment interplay in twin models. Political Analysis, 21(3), 368389.CrossRefGoogle ScholarPubMed
Verhulst, B., Prom-Wormley, E., Keller, M., Medland, S., & Neale, M. C. (2019). Type I error rates and parameter bias in multivariate behavioral genetic models. Behavior Genetics, 49(1), 99111.CrossRefGoogle ScholarPubMed
Voydanoff, P. (2004). The effects of work demands and resources on work-to-family conflict and facilitation. Journal of Marriage and Family, 66(2), 398412.CrossRefGoogle Scholar
Weinschenk, A., Dawes, C., Klemmensen, R., & Rasmussen, S. H. R. (2023). Genes, personality, and political behavior: A replication and extension using Danish twins. Politics and the Life Sciences, 42(1), 416.CrossRefGoogle ScholarPubMed
Weinschenk, A. C. & Dawes, C. T. (2019). The effect of education on political knowledge: Evidence from monozygotic twins. American Politics Research, 47(3), 530548.CrossRefGoogle Scholar
Weinschenk, A. C., Dawes, C. T., Kandler, C., Bell, E., & Riemann, R. (2019). New evidence on the link between genes, psychological traits, and political engagement. Politics and the Life Sciences, 38(1), 113.CrossRefGoogle ScholarPubMed
Weinschenk, A. C., Dawes, C. T., Oskarsson, S., Klemmensen, R., & Nørgaard, A. S. (2021). The relationship between political attitudes and political participation: Evidence from monozygotic twins in the United States, Sweden, Germany, and Denmark. Electoral Studies, 69, 102269.CrossRefGoogle Scholar
Supplementary material: File

Jungkunz and Marx supplementary material

Jungkunz and Marx supplementary material
Download Jungkunz and Marx supplementary material(File)
File 287.3 KB
Supplementary material: Link

Jungkunz and Marx Dataset

Link