IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0172281.html
   My bibliography  Save this article

Do family and neighbourhood matter in secondary school completion? A multilevel study of determinants and their interactions in a life-course perspective

Author

Listed:
  • Arnhild Myhr
  • Monica Lillefjell
  • Geir Arild Espnes
  • Thomas Halvorsen

Abstract

Background: Completion of secondary education is important for individuals’ future health and health behaviour. The fundamental purpose of this study is to investigate the variation and clustering of school completion in families and neighbourhoods. Secondly, we aim to examine the impact of individuals’ family structure and neighbourhood of residence and examine to what extent parental education level moderates these associations. Methods: Longitudinal register data for 30% of the entire Norwegian population aged 21–27 years in 2010 (N = 107,003) was extracted from Statistic Norway´s event database. Three-level logistic regression models, which incorporated individual, family, and neighbourhood contextual factors, were applied to estimate the family and neighbourhood general contextual effects and detect possible educational differences in the impact of family structure and urban place of residence in school completion. Results: Completion rates were significantly higher within families with higher education level (79% in tertiary educated families vs. 61% and 48% in secondary and primary educated families respectively) and were strongly correlated within families (ICC = 39.6) and neighbourhoods (ICC = 5.7). Several structural factors at the family level negatively associated with school completion (e.g., family disruption, large family size, and young maternal age) were more prevalent and displayed more negative impact among primary educated individuals. Urban residence was associated with school completion, but only among the tertiary educated. Conclusions: Investment in the resources in the individuals’ immediate surroundings, including family and neighbourhood, may address a substantial portion of the social inequalities in the completion of upper secondary education. The high intra-familial correlation in school completion suggests that public health policies and future research should acknowledge family environments in order to improve secondary education completion rates among young people within lower educated families.

Suggested Citation

  • Arnhild Myhr & Monica Lillefjell & Geir Arild Espnes & Thomas Halvorsen, 2017. "Do family and neighbourhood matter in secondary school completion? A multilevel study of determinants and their interactions in a life-course perspective," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-21, February.
    • Handle: RePEc:plo:pone00:0172281
    DOI: 10.1371/journal.pone.0172281
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0172281
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0172281&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0172281?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jon Rasbash & George Leckie & Rebecca Pillinger & Jennifer Jenkins, 2010. "Children's educational progress: partitioning family, school and area effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(3), pages 657-682, July.
    2. Wilkinson, Richard G & Pickett, Kate E., 2006. "Income inequality and population health: A review and explanation of the evidence," Social Science & Medicine, Elsevier, vol. 62(7), pages 1768-1784, April.
    3. Wadsworth, M. E. J., 1997. "Health inequalities in the life course perspective," Social Science & Medicine, Elsevier, vol. 44(6), pages 859-869, March.
    4. W. J. Browne & S. V. Subramanian & K. Jones & H. Goldstein, 2005. "Variance partitioning in multilevel logistic models that exhibit overdispersion," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(3), pages 599-613, July.
    5. Björklund Anders & Jäntti Markus & Solon Gary, 2007. "Nature and Nurture in the Intergenerational Transmission of Socioeconomic Status: Evidence from Swedish Children and Their Biological and Rearing Parents," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(2), pages 1-23, November.
    6. Karin A A De Ridder & Kristine Pape & Roar Johnsen & Turid Lingaas Holmen & Steinar Westin & Johan Håkon Bjørngaard, 2013. "Adolescent Health and High School Dropout: A Prospective Cohort Study of 9000 Norwegian Adolescents (The Young-HUNT)," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-7, September.
    7. Sophia Rabe-Hesketh & Anders Skrondal, 2012. "Multilevel and Longitudinal Modeling Using Stata, 3rd Edition," Stata Press books, StataCorp LP, edition 3, number mimus2, March.
    8. Case, Anne & Fertig, Angela & Paxson, Christina, 2005. "The lasting impact of childhood health and circumstance," Journal of Health Economics, Elsevier, vol. 24(2), pages 365-389, March.
    9. Winkleby, M. & Cubbin, C. & Ahn, D., 2006. "Effect of cross-level interaction between individual and neighborhood socioeconomic status on adult mortality rates," American Journal of Public Health, American Public Health Association, vol. 96(12), pages 2145-2153.
    10. Norman, Paul & Boyle, Paul & Rees, Philip, 2005. "Selective migration, health and deprivation: a longitudinal analysis," Social Science & Medicine, Elsevier, vol. 60(12), pages 2755-2771, June.
    11. Krokstad, Steinar & Westin, Steinar, 2004. "Disability in society--medical and non-medical determinants for disability pension in a Norwegian total county population study," Social Science & Medicine, Elsevier, vol. 58(10), pages 1837-1848, May.
    12. Kawachi, I. & Kennedy, B.P. & Lochner, K. & Prothrow-Stith, D., 1997. "Social capital, income inequality, and mortality," American Journal of Public Health, American Public Health Association, vol. 87(9), pages 1491-1498.
    13. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    14. Najman, Jake M. & Aird, Rosemary & Bor, William & O'Callaghan, Michael & Williams, Gail M. & Shuttlewood, Gregory J., 2004. "The generational transmission of socioeconomic inequalities in child cognitive development and emotional health," Social Science & Medicine, Elsevier, vol. 58(6), pages 1147-1158, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sanfo, Jean-Baptiste M.B., 2021. "Connecting family, school, gold mining community and primary school students’ reading achievements in Burkina Faso – A three-level hierarchical linear model analysis," International Journal of Educational Development, Elsevier, vol. 84(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gabriele B. Durrant & Sylke V. Schnepf, 2018. "Which schools and pupils respond to educational achievement surveys?: a focus on the English Programme for International Student Assessment sample," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1057-1075, October.
    2. Owen O'Donnell & Eddy Van Doorslaer & Tom Van Ourti, 2013. "Health and Inequality," Tinbergen Institute Discussion Papers 13-170/V, Tinbergen Institute.
    3. Juan Merlo & Philippe Wagner & Nermin Ghith & George Leckie, 2016. "An Original Stepwise Multilevel Logistic Regression Analysis of Discriminatory Accuracy: The Case of Neighbourhoods and Health," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-31, April.
    4. Tse-Chuan Yang & Leif Jensen, 2015. "Exploring the Inequality-Mortality Relationship in the US with Bayesian Spatial Modeling," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 34(3), pages 437-460, June.
    5. Chunping Han, 2014. "Health Implications of Socioeconomic Characteristics, Subjective Social Status, and Perceptions of Inequality: An Empirical Study of China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(2), pages 495-514, November.
    6. Kelvyn Jones & David Manley & Ron Johnston & Dewi Owen, 2018. "Modelling residential segregation as unevenness and clustering: A multilevel modelling approach incorporating spatial dependence and tackling the MAUP," Environment and Planning B, , vol. 45(6), pages 1122-1141, November.
    7. Georg Kanitsar, 2022. "The Inequality-Trust Nexus Revisited: At What Level of Aggregation Does Income Inequality Matter for Social Trust?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 171-195, August.
    8. Sungik Kang & Ja-Hoon Koo, 2023. "Exploring Social Capital Level in Regions with Large and Increasing Wealth Inequality: Lesson from Seoul, South Korea," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 168(1), pages 165-183, August.
    9. Grönqvist, Hans & Johansson, Per & Niknami, Susan, 2012. "Income inequality and health: Lessons from a refugee residential assignment program," Journal of Health Economics, Elsevier, vol. 31(4), pages 617-629.
    10. Herzer, Dierk & Nunnenkamp, Peter, 2015. "Income inequality and health: Evidence from developed and developing countries," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-56.
    11. Michael Cauvel & Miguel Alejandro Sanchez, 2023. "Life Expectancy and the Labor Share in the U.S," Working Papers PKWP2308, Post Keynesian Economics Society (PKES).
    12. Inaba, Yoji & Wada, Yuri & Ichida, Yukinobu & Nishikawa, Masashi, 2015. "Which part of community social capital is related to life satisfaction and self-rated health? A multilevel analysis based on a nationwide mail survey in Japan," Social Science & Medicine, Elsevier, vol. 142(C), pages 169-182.
    13. Bilger, Marcel & Carrieri, Vincenzo, 2013. "Health in the cities: When the neighborhood matters more than income," Journal of Health Economics, Elsevier, vol. 32(1), pages 1-11.
    14. Layte, R. & Christopher Whelan, 2013. "GINI DP 78: Who Feels Inferior? A Test of the Status Anxiety Hypothesis of Social Inequalities in Health," GINI Discussion Papers 78, AIAS, Amsterdam Institute for Advanced Labour Studies.
    15. Yonghua Li & Qinchuan Ran & Song Yao & Likun Ding, 2023. "Evaluation and Optimization of the Layout of Community Public Service Facilities for the Elderly: A Case Study of Hangzhou," Land, MDPI, vol. 12(3), pages 1-29, March.
    16. Lillard, Dean R. & Burkhauser, Richard V. & Hahn, Markus H. & Wilkins, Roger, 2015. "Does early-life income inequality predict self-reported health in later life? Evidence from the United States," Social Science & Medicine, Elsevier, vol. 128(C), pages 347-355.
    17. Arlette Simo-Fotso, 2016. "Human Capital Accumulation of Disabled Children:Does Disability Really Matter?," Working Papers 222, Institut National d'Études Démographiques (INED).
    18. Luo, Weixiang & Xie, Yu, 2020. "Economic growth, income inequality and life expectancy in China," Social Science & Medicine, Elsevier, vol. 256(C).
    19. Mara Violato & Stavros Petrou & Ron Gray & Maggie Redshaw, 2011. "Family income and child cognitive and behavioural development in the United Kingdom: does money matter?," Health Economics, John Wiley & Sons, Ltd., vol. 20(10), pages 1201-1225, October.
    20. Mishra, Sandeep & Carleton, R. Nicholas, 2015. "Subjective relative deprivation is associated with poorer physical and mental health," Social Science & Medicine, Elsevier, vol. 147(C), pages 144-149.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0172281. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.