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Unlucky to Be Young? The Long-Term Effects of School Starting Age on Smoking Behaviour and Health

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  • Bahrs, Michael
  • Schumann, Mathias

Abstract

In this study, we analyse the long-term effects of school starting age on smoking behaviour and health in adulthood. School entry rules combined with birth month are used as an instrument for school starting age. The analysis adopts the German Socio- Economic Panel data and employs a fuzzy regression discontinuity design. The results reveal that school starting age reduces the long-term risk to smoke, improves long-term health, and affects physical rather than mental health. In addition, we find that the relative age composition of peers and the school environment are important mechanisms.

Suggested Citation

  • Bahrs, Michael & Schumann, Mathias, 2016. "Unlucky to Be Young? The Long-Term Effects of School Starting Age on Smoking Behaviour and Health," hche Research Papers 2016/13, University of Hamburg, Hamburg Center for Health Economics (hche).
  • Handle: RePEc:zbw:hcherp:201613
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    References listed on IDEAS

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    1. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    2. Marcus, Jan, 2013. "The Effect of Unemployment on the Mental Health of Spouses – Evidence from plant closures in Germany," EconStor Open Access Articles, ZBW - German National Library of Economics, pages 546-558.
    3. Patrick Puhani & Andrea Weber, 2007. "Does the early bird catch the worm?," Empirical Economics, Springer, vol. 32(2), pages 359-386, May.
    4. Anger, Silke & Kvasnicka, Michael & Siedler, Thomas, 2011. "One Last Puff? Public Smoking Bans and Smoking Behavior," EconStor Open Access Articles, ZBW - German National Library of Economics, pages 591-601.
    5. Edward C. Norton & Richard C. Lindrooth & Susan T. Ennett, 1998. "Controlling for the endogeneity of peer substance use on adolescent alcohol and tobacco use," Health Economics, John Wiley & Sons, Ltd., vol. 7(5), pages 439-453.
    6. Laura M. Argys & Daniel I. Rees, 2008. "Searching for Peer Group Effects: A Test of the Contagion Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 442-458, August.
    7. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    8. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    9. Fertig, Michael & Kluve, Jochen, 2005. "The Effect of Age at School Entry on Educational Attainment in Germany," RWI Discussion Papers 27, RWI - Leibniz-Institut für Wirtschaftsforschung.
    10. Alejandro Gaviria & Steven Raphael, 2001. "School-Based Peer Effects And Juvenile Behavior," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 257-268, May.
    11. repec:arz:wpaper:eres2011-156 is not listed on IDEAS
    12. Dobkin, Carlos & Ferreira, Fernando, 2010. "Do school entry laws affect educational attainment and labor market outcomes?," Economics of Education Review, Elsevier, vol. 29(1), pages 40-54, February.
    13. Hendrik Jürges & Kerstin Schneider, 2007. "What can go wrong will go wrong: Birthday effects and early tracking in the German school system," MEA discussion paper series 07138, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    14. Mühlenweg, Andrea & Blomeyer, Dorothea & Stichnoth, Holger & Laucht, Manfred, 2012. "Effects of age at school entry (ASE) on the development of non-cognitive skills: Evidence from psychometric data," Economics of Education Review, Elsevier, vol. 31(3), pages 68-76.
    15. Eibich, Peter, 2015. "Understanding the effect of retirement on health: Mechanisms and heterogeneity," Journal of Health Economics, Elsevier, vol. 43(C), pages 1-12.
    16. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    17. Elder, Todd E., 2010. "The importance of relative standards in ADHD diagnoses: Evidence based on exact birth dates," Journal of Health Economics, Elsevier, vol. 29(5), pages 641-656, September.
    18. Powell, Lisa M. & Tauras, John A. & Ross, Hana, 2005. "The importance of peer effects, cigarette prices and tobacco control policies for youth smoking behavior," Journal of Health Economics, Elsevier, vol. 24(5), pages 950-968, September.
    19. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Oxford University Press, vol. 60(3), pages 531-542.
    20. Dennis Y. C. Leung & Jeanie K. Y. Tsui & Feng Chen & Wing-Kin Yip & Lilian L. P. Vrijmoed & Chun-Ho Liu, 2011. "Effects of Urban Vegetation on Urban Air Quality," Landscape Research, Taylor & Francis Journals, vol. 36(2), pages 173-188, April.
    21. Matthias Nübling & Hanfried H. Andersen & Axel Mühlbacher & Jürgen Schupp & Gert G. Wagner, 2007. "Computation of Standard Values for Physical and Mental Health Scale Scores Using the SOEP Version of SF12v2," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 171-182.
    22. Jürges, Hendrik & Reinhold, Steffen & Salm, Martin, 2011. "Does schooling affect health behavior? Evidence from the educational expansion in Western Germany," Economics of Education Review, Elsevier, vol. 30(5), pages 862-872, October.
    23. Schwandt, Hannes & Wuppermann, Amelie, 2016. "The youngest get the pill: ADHD misdiagnosis in Germany, its regional correlates and international comparison," Labour Economics, Elsevier, vol. 43(C), pages 72-86.
    24. Evans, William N. & Morrill, Melinda S. & Parente, Stephen T., 2010. "Measuring inappropriate medical diagnosis and treatment in survey data: The case of ADHD among school-age children," Journal of Health Economics, Elsevier, vol. 29(5), pages 657-673, September.
    25. Fertig, Michael & Kluve, Jochen, 2005. "The Effect of Age at School Entry on Educational Attainment in Germany," IZA Discussion Papers 1507, Institute for the Study of Labor (IZA).
    26. Dalsgaard, Søren & Humlum, Maria Knoth & Nielsen, Helena Skyt & Simonsen, Marianne, 2012. "Relative standards in ADHD diagnoses: The role of specialist behavior," Economics Letters, Elsevier, vol. 117(3), pages 663-665.
    27. repec:zbw:rwidps:0027 is not listed on IDEAS
    28. Godard, Mathilde, 2016. "Gaining weight through retirement? Results from the SHARE survey," Journal of Health Economics, Elsevier, vol. 45(C), pages 27-46.
    29. Schwandt, Hannes & Wuppermann, Amelie, 2016. "The youngest get the pill: ADHD misdiagnosis in Germany, its regional correlates and international comparison," Munich Reprints in Economics 43485, University of Munich, Department of Economics.
    30. Pushpa Trivedi & Rajmal, 2011. "Growth Effects of Fiscal Policy of India States," Millennial Asia, , vol. 2(2), pages 141-162, July.
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    More about this item

    Keywords

    smoking; health; peer effects; education; school starting age; regression discontinuity design;

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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