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Spillovers of health education at school on parents' physical activity

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  • Lucila Berniell;
  • Dolores de la Mata;
  • M. Nieves Valdes

Abstract

To prevent modern health conditions like obesity, cancer, cardiovascular illness, and diabetes, which have reached epidemic-like proportions in recent decades, many health experts argue that students should receive Health Education (HED) at school. Although this type of education aims mainly to improve children's health pro les, it might affect other family members as well. This paper exploits state HED reforms as quasi-natural experiments to estimate the causal impact of HED received by children on their parents' physical activity. We use data from the Panel Study of Income Dynamics (PSID) for the period 1999-2005 merged with data on state HED reforms from the National Association of State Boards of Education (NASBE) Health Policy Database, and the 2000 and 2006 School Health Policies and Programs Study (SHPPS). To identify the spillover effects of HED requirements on parents' behavior we use a "differences-in-differences in- differences" (DDD) methodology in which we allow for different types of treatments. We find a positive effect of HED reforms at the elementary school on the probability of parents doing light physical activity. Introducing major changes in HED increases the probability of fathers engaging in physical activity by 12.4 percentage points, while this probability for mothers does not seem to be affected. We find evidence of two channels that may drive these spillovers. We conclude that the gender specialization of parents in childcare activities, as well as information sharing between children and parents, may play a role in generating these indirect effects and in turn, in shaping healthy lifestyles within the household.

Suggested Citation

  • Lucila Berniell; & Dolores de la Mata; & M. Nieves Valdes, 2012. "Spillovers of health education at school on parents' physical activity," Health, Econometrics and Data Group (HEDG) Working Papers 12/13, HEDG, c/o Department of Economics, University of York.
  • Handle: RePEc:yor:hectdg:12/13
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    Cited by:

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    2. Ning Wei & Dingqiang Sun, 2023. "Children’s education and parents’ dietary nutrient intake: an empirical study based on rural China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    3. Jan Marcus & Thomas Siedler & Nicolas R. Ziebarth, 2022. "The Long-Run Effects of Sports Club Vouchers for Primary School Children," American Economic Journal: Economic Policy, American Economic Association, vol. 14(3), pages 128-165, August.
    4. Sovinsky, Michelle & Stern, Steven & Michel, Chloé, 2019. "Value of Risky Lifestyle Choices," CEPR Discussion Papers 13537, C.E.P.R. Discussion Papers.
    5. De Neve, Jan-Walter & Kawachi, Ichiro, 2017. "Spillovers between siblings and from offspring to parents are understudied: A review and future directions for research," Social Science & Medicine, Elsevier, vol. 183(C), pages 56-61.
    6. Oritseweyinmi Orighoye & Tanefa A. Apekey & Maria J. Maynard, 2023. "Informing Diet and Physical Activity Interventions with Family Involvement in an Urban Setting: Views of Children and Adults in Lagos, Nigeria," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    7. Ning Wei & Lülin Zhou & Wenhao Huang, 2022. "Does an upward intergenerational educational spillover effect exist? The effect of children’s education on Chinese parents’ health," International Journal of Health Economics and Management, Springer, vol. 22(1), pages 69-89, March.
    8. Demirel-Derebasoglu, Merve & Okten, Cagla, 2020. "Gender Gap in Intergenerational Educational Persistence: Can Compulsory Schooling Reduce It?," IZA Discussion Papers 13362, Institute of Labor Economics (IZA).
    9. Chagas, André L.S. & Azzoni, Carlos R. & Almeida, Alexandre N., 2016. "A spatial difference-in-differences analysis of the impact of sugarcane production on respiratory diseases," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 24-36.
    10. De Neve, Jan-Walter & Fink, Günther, 2018. "Children’s education and parental old age survival – Quasi-experimental evidence on the intergenerational effects of human capital investment," Journal of Health Economics, Elsevier, vol. 58(C), pages 76-89.
    11. Yanna Ma & Zhanli Ma & Moqin Yang, 2022. "Does Adult Children’s Education Increase Parents’ Longevity in China?," IJERPH, MDPI, vol. 19(23), pages 1-15, November.
    12. Andre Chagas & Carlos Azzoni & Alexandre Almeida, 2015. "A Spatial Difference-in-Difference Analysis to Measure the Sugarcane Producing Impact in Respiratory Health," ERSA conference papers ersa15p511, European Regional Science Association.
    13. Tengtrakul, Pitikorn & Peha, Jon M., 2013. "Does ICT in schools affect residential adoption and adult utilization outside schools?," Telecommunications Policy, Elsevier, vol. 37(6), pages 540-562.
    14. Cornelissen, Thomas & Dang, Thang, 2022. "The multigenerational impacts of educational expansion: Evidence from Vietnam," Labour Economics, Elsevier, vol. 78(C).
    15. Youlu Zhang & Li Zhang & Fulian Li & Liqian Deng & Jiaoli Cai & Linyue Yu, 2022. "Offspring Education and Parents’ Health Inequality in China: Evidence from Spillovers of Education Reform," IJERPH, MDPI, vol. 19(4), pages 1-26, February.
    16. Edberg, Dana & Mukhopadhyay, Sankar & Wendel, Jeanne, 2019. "Incentive design to boost health for juveniles with Medicaid coverage: Evidence from a field experiment," Economics & Human Biology, Elsevier, vol. 33(C), pages 101-115.

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    More about this item

    Keywords

    physical activity; healthy lifestyles; indirect treatment effects; health education; triple differences.;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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