IDEAS home Printed from https://ideas.repec.org/p/sad/wpaper/121.html
   My bibliography  Save this paper

Teenage risky behavior and parental supervision: the unintended consequences of multiple shifts school systems

Author

Listed:
  • Martín Rossi

    (Department of Economics, Universidad de San Andres)

  • Ana Reynoso

    (Department of Economics, Yale University)

Abstract

We study the relationship between attending high school at night and the probability of engaging in risky behavior, such as having unsafe sex or consuming substances. To address potential endogeneity concerns we take advantage of a random assignment of high school students to daytime and night shifts in the city of Buenos Aires. Using an original survey on students attending their last year of high school, we find that girls attending high school in the evening start having sex at an earlier age and present a higher probability of getting an abortion. We find no significant differences for substance use. Our experimental approach suggests that the link between high school shift and risky behavior is causal. Results hold when we use an alternative sample of alumni. Finally, we report evidence that the lack of parental supervision is the mechanism underlying our results.

Suggested Citation

  • Martín Rossi & Ana Reynoso, 2015. "Teenage risky behavior and parental supervision: the unintended consequences of multiple shifts school systems," Working Papers 121, Universidad de San Andres, Departamento de Economia, revised Jun 2016.
    • Handle: RePEc:sad:wpaper:121
    as

    Download full text from publisher

    File URL: https://webacademicos.udesa.edu.ar/pub/econ/doc121.pdf
    File Function: First version, 2015
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Peter Kooreman & Adriaan R. Soetevent, 2007. "A discrete-choice model with social interactions: with an application to high school teen behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 599-624.
    2. Berthelon, Matias E. & Kruger, Diana I., 2011. "Risky behavior among youth: Incapacitation effects of school on adolescent motherhood and crime in Chile," Journal of Public Economics, Elsevier, vol. 95(1-2), pages 41-53, February.
    3. Joseph P. Romano & Michael Wolf, 2005. "Stepwise Multiple Testing as Formalized Data Snooping," Econometrica, Econometric Society, vol. 73(4), pages 1237-1282, July.
    4. David Card & Laura Giuliano, 2013. "Peer Effects and Multiple Equilibria in the Risky Behavior of Friends," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1130-1149, October.
    5. Adriaan R. Soetevent, 2006. "Empirics of the Identification of Social Interactions; An Evaluation of the Approaches and Their Results," Journal of Economic Surveys, Wiley Blackwell, vol. 20(2), pages 193-228, April.
    6. Andrew E. Clark & Youenn Loheac, 2003. "It wasn't me, It was them! A Study of Social Influence in Risky Behaviour by Adolescents," DELTA Working Papers 2003-01, DELTA (Ecole normale supérieure).
    7. Colman, Silvie & Dee, Thomas S. & Joyce, Ted, 2013. "Do parental involvement laws deter risky teen sex?," Journal of Health Economics, Elsevier, vol. 32(5), pages 873-880.
    8. SandraE. Black & PaulJ. Devereux & KjellG. Salvanes, 2008. "Staying in the Classroom and out of the maternity ward? The effect of compulsory schooling laws on teenage births," Economic Journal, Royal Economic Society, vol. 118(530), pages 1025-1054, July.
    9. George A. Akerlof, 1997. "Social Distance and Social Decisions," Econometrica, Econometric Society, vol. 65(5), pages 1005-1028, September.
    10. Catalina Amuedo-Dorantes & Traci Mach, 2002. "The Impact of Families on Juvenile Substance Use," Journal of Bioeconomics, Springer, vol. 4(3), pages 269-282, October.
    11. Joseph G. Altonji & Sarah Cattan & Iain Ware, 2017. "Identifying Sibling Influence on Teenage Substance Use," Journal of Human Resources, University of Wisconsin Press, vol. 52(1), pages 1-47.
    12. 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.
    13. Case, A.C. & Katz, L.F., 1991. "The Company You Keep: The Effects Of Family And Neighborhood On Disadvantaged Younths," Harvard Institute of Economic Research Working Papers 1555, Harvard - Institute of Economic Research.
    14. Levine, Phillip B., 2003. "Parental involvement laws and fertility behavior," Journal of Health Economics, Elsevier, vol. 22(5), pages 861-878, September.
    15. Nolan G. Pope, 2016. "How the Time of Day Affects Productivity: Evidence from School Schedules," The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 1-11, March.
    16. Lusher, Lester & Yasenov, Vasil, 2016. "Double-shift schooling and student success: Quasi-experimental evidence from Europe," Economics Letters, Elsevier, vol. 139(C), pages 36-39.
    17. Scott E. Carrell & Teny Maghakian & James E. West, 2011. "A's from Zzzz's? The Causal Effect of School Start Time on the Academic Achievement of Adolescents," American Economic Journal: Economic Policy, American Economic Association, vol. 3(3), pages 62-81, August.
    18. Kruger, Diana & Berthelon, Matias, 2009. "Delaying the Bell: The Effects of Longer School Days on Adolescent Motherhood in Chile," IZA Discussion Papers 4553, Institute of Labor Economics (IZA).
    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. Johansen, Eva Rye, 2021. "Relative age for grade and adolescent risky health behavior," Journal of Health Economics, Elsevier, vol. 76(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. ÖZGÜR, Onur & BISIN, Alberto, 2011. "Dynamic Linear Economies with Social Interactions," Cahiers de recherche 04-2011, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    2. Clark, Andrew E. & Loheac, Youenn, 2007. ""It wasn't me, it was them!" Social influence in risky behavior by adolescents," Journal of Health Economics, Elsevier, vol. 26(4), pages 763-784, July.
    3. Chih‐Sheng Hsieh & Hans van Kippersluis, 2018. "Smoking initiation: Peers and personality," Quantitative Economics, Econometric Society, vol. 9(2), pages 825-863, July.
    4. Benjamin Elsner & Ingo E. Isphording, 2018. "Rank, Sex, Drugs, and Crime," Journal of Human Resources, University of Wisconsin Press, vol. 53(2), pages 356-381.
    5. Duncan McVicar & Arnold Polanski, 2014. "Peer Effects in UK Adolescent Substance Use: Never Mind the Classmates?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(4), pages 589-604, August.
    6. Olugbenga Ajilore, 2015. "Identifying peer effects using spatial analysis: the role of peers on risky sexual behavior," Review of Economics of the Household, Springer, vol. 13(3), pages 635-652, September.
    7. Duncan McVicar & Arnold Polanski, 2010. "Estimating Peer Influences in Teenage Substance Use when Friendship Links are Unobserved," Economics Working Papers 10-04, Queen's Management School, Queen's University Belfast.
    8. Ali Palali & Jan C. Van ours, 2017. "Love Conquers all but Nicotine: Spousal Peer Effects on the Decision to Quit Smoking," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1710-1727, December.
    9. Steven N. Durlauf & Yannis M. Ioannides, 2010. "Social Interactions," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 451-478, September.
    10. Gibbons, Steve & Overman, Henry G. & Patacchini, Eleonora, 2015. "Spatial Methods," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 115-168, Elsevier.
    11. Lugo, Maria Ana, 2011. "Heterogenous peer effects, segregation and academic attainment," Policy Research Working Paper Series 5718, The World Bank.
    12. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    13. Ana Balsa & Carlos Díaz, 2018. "Social interactions in health behaviors and conditions," Documentos de Trabajo/Working Papers 1802, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    14. Palali, Ali & van Ours, Jan, 2015. "Love Conquers All but Nicotine : Spousal Peer Effects on the Decision to Quit Smoking," Discussion Paper 2015-048, Tilburg University, Center for Economic Research.
    15. Lin, Xu, 2014. "Peer effects in adolescents' delinquent behaviors: Evidence from a binary choice network model," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 73-92.
    16. Jason M. Fletcher, 2010. "Social interactions and smoking: evidence using multiple student cohorts, instrumental variables, and school fixed effects," Health Economics, John Wiley & Sons, Ltd., vol. 19(4), pages 466-484, April.
    17. Bryan S. Graham & Andrin Pelican, 2023. "Scenario sampling for large supermodular games," CeMMAP working papers 15/23, Institute for Fiscal Studies.
    18. Paul Frijters & Asad Islam & Chitwan Lalji & Debayan Pakrashi, 2019. "Roommate effects in health outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 28(8), pages 998-1034, August.
    19. Toni Mora & Joan Gil, 2013. "Peer Effects In Adolescent Bmi: Evidence From Spain," Health Economics, John Wiley & Sons, Ltd., vol. 22(5), pages 501-516, May.
    20. Grodner, Andrew & Kniesner, Thomas J. & Bishop, John A., 2011. "Social Interactions in the Labor Market," Foundations and Trends(R) in Microeconomics, now publishers, vol. 6(4), pages 265-366, September.

    More about this item

    Keywords

    school; teenage; behavior;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:sad:wpaper:121. 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: Maria Amelia Gibbons (email available below). General contact details of provider: https://edirc.repec.org/data/desanar.html .

    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.