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Role of grandparents in risky health behavior transmission: A study on smoking behavior in Norway

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  • Sari, Emre
  • Moilanen, Mikko
  • Lindeboom, Maarten

Abstract

Exploring the role of grandparents in the intergenerational transmission of risky health behaviors, specifically smoking, this study aims to examine the differential influence of maternal and paternal grandparents on their grandchildren's smoking behavior in adulthood. Utilizing the Tromsø Study's unique three-generational dataset from Tromsø, Norway, we employ a control function approach. The findings show a matrilateral bias, revealing that maternal grandparents' smoking behavior has a notable negative direct effect on the probability of their grandchildren's smoking. No such influence is observed in the case of paternal grandparents. Moreover, an indirect transmission of grandparental smoking behavior from grandparents to grandchildren through parents is identified, increasing on grandchildren's smoking probability. These results underscore the necessity of incorporating the influential role of grandparents, in crafting public health policies and family-centered interventions for tobacco use.

Suggested Citation

  • Sari, Emre & Moilanen, Mikko & Lindeboom, Maarten, 2023. "Role of grandparents in risky health behavior transmission: A study on smoking behavior in Norway," Social Science & Medicine, Elsevier, vol. 338(C).
    • Handle: RePEc:eee:socmed:v:338:y:2023:i:c:s0277953623006962
    DOI: 10.1016/j.socscimed.2023.116339
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    1. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    2. Ren, Yanjun & Zhang, Yanjie & Castro Campos, Bente & Loy, Jens-Peter, 2020. "Unhealthy consumption behaviors and their intergenerational persistence: The role of education," China Economic Review, Elsevier, vol. 62(C).
    3. Rodríguez-Planas, Núria & Sanz-de-Galdeano, Anna, 2019. "Intergenerational transmission of gender social norms and teenage smoking," Social Science & Medicine, Elsevier, vol. 222(C), pages 122-132.
    4. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    5. Olsen, Jan Abel & Lindberg, Marie Hella & Lamu, Admassu Nadew, 2020. "Health and wellbeing in Norway: Population norms and the social gradient," Social Science & Medicine, Elsevier, vol. 259(C).
    6. Brown, Heather & van der Pol, Marjon, 2015. "Intergenerational transfer of time and risk preferences," Journal of Economic Psychology, Elsevier, vol. 49(C), pages 187-204.
    7. Sadruddin, Aalyia F.A. & Ponguta, Liliana A. & Zonderman, Anna L. & Wiley, Kyle S. & Grimshaw, Alyssa & Panter-Brick, Catherine, 2019. "How do grandparents influence child health and development? A systematic review," Social Science & Medicine, Elsevier, vol. 239(C).
    8. Timothy J. Halliday & Bhashkar Mazumder & Ashley Wong, 2020. "The intergenerational transmission of health in the United States: A latent variables analysis," Health Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 367-381, March.
    9. Gary Solon, 2018. "What Do We Know So Far about Multigenerational Mobility?," Economic Journal, Royal Economic Society, vol. 128(612), pages 340-352, July.
    10. Cotti, Chad & Courtemanche, Charles & Maclean, Joanna Catherine & Nesson, Erik & Pesko, Michael F. & Tefft, Nathan W., 2022. "The effects of e-cigarette taxes on e-cigarette prices and tobacco product sales: Evidence from retail panel data," Journal of Health Economics, Elsevier, vol. 86(C).
    11. Qin, Xuezheng & Wang, Tianyu & Zhuang, Castiel Chen, 2016. "Intergenerational transfer of human capital and its impact on income mobility: Evidence from China," China Economic Review, Elsevier, vol. 38(C), pages 306-321.
    12. Jeffrey M. Wooldridge, 2015. "Control Function Methods in Applied Econometrics," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 420-445.
    13. Salma E. T. El-Amin & Jaana M. Kinnunen & Hanna Ollila & Mika Helminen & Joana Alves & Pirjo Lindfors & Arja H. Rimpelä, 2015. "Transmission of Smoking across Three Generations in Finland," IJERPH, MDPI, vol. 13(1), pages 1-15, December.
    14. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    15. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    16. Christiansen, Solveig Glestad, 2014. "The association between grandparenthood and mortality," Social Science & Medicine, Elsevier, vol. 118(C), pages 89-96.
    17. Miura, Takahiro, 2019. "Does time preference affect smoking behavior? A dynamic panel analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 78(C), pages 170-180.
    18. Kalmijn, Matthijs, 2022. "Intergenerational transmission of health behaviors in a changing demographic context: The case of smoking and alcohol consumption," Social Science & Medicine, Elsevier, vol. 296(C).
    19. Michael T. French & Ioana Popovici, 2011. "That instrument is lousy! In search of agreement when using instrumental variables estimation in substance use research," Health Economics, John Wiley & Sons, Ltd., vol. 20(2), pages 127-146, February.
    20. Jing Zhang & Simon Appleton & Lina Song & Bing Liu, 2021. "Who Looks after the Kids? The Effects of Childcare Choice on Early Childhood Development in China," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 619-640, June.
    21. Zhen Zeng & Yu Xie, 2014. "The Effects of Grandparents on Children’s Schooling: Evidence From Rural China," Demography, Springer;Population Association of America (PAA), vol. 51(2), pages 599-617, April.
    22. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
    23. Janet Currie, 2020. "Child health as human capital," Health Economics, John Wiley & Sons, Ltd., vol. 29(4), pages 452-463, April.
    24. Wooldridge, Jeffrey M., 2014. "Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 182(1), pages 226-234.
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    More about this item

    Keywords

    Intergenerational transmission; Risky health behaviors; Tobacco smoking; Grandparents' influence; Matrilateral bias;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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