IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v19y2010i11p1281-1299.html
   My bibliography  Save this article

Marijuana use and high school dropout: the influence of unobservables

Author

Listed:
  • Daniel F. McCaffrey

    (The RAND Corporation, Pittsburgh, PA, USA)

  • Rosalie Liccardo Pacula

    (The RAND Corporation, Santa Monica, CA, USA)

  • Bing Han

    (The RAND Corporation, Santa Monica, CA, USA)

  • Phyllis Ellickson

    (The RAND Corporation, Santa Monica, CA, USA)

Abstract

In this study, we reconsider the relationship between heavy and persistent marijuana use and high school dropout status. Using a unique prospective panel study of over 4500 7th grade students from South Dakota who are followed through high school, we developed propensity score weights to adjust for baseline differences found to exist before marijuana initiation occurs for most students (7th grade). We then used weighted logistic regression that incorporates these propensity score weights to examine the extent to which time-varying factors, including substance use, also influence the likelihood of dropping out of school. We found a positive association between marijuana use and dropping out (OR=5.6, RR=3.8), over half of which was explained by prior differences in observational characteristics and behaviors. The remaining association (OR=2.4, RR=1.7) became statistically insignificant when measures of cigarette smoking were included in the analysis. Because cigarette smoking is unlikely to seriously impair cognition, we interpret this result as evidence that the association between marijuana use and high school dropout is unlikely to be due to its adverse effects on cognition. We then explored which constructs drive this result, determining that they are time-varying parental and peer influences. Copyright © 2009 John Wiley & Sons, Ltd.

Suggested Citation

  • Daniel F. McCaffrey & Rosalie Liccardo Pacula & Bing Han & Phyllis Ellickson, 2010. "Marijuana use and high school dropout: the influence of unobservables," Health Economics, John Wiley & Sons, Ltd., vol. 19(11), pages 1281-1299.
  • Handle: RePEc:wly:hlthec:v:19:y:2010:i:11:p:1281-1299 DOI: 10.1002/hec.1561
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/hec.1561
    File Function: Link to full text; subscription required
    Download Restriction: no

    References listed on IDEAS

    as
    1. Willis, Robert J & Rosen, Sherwin, 1979. "Education and Self-Selection," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 7-36, October.
    2. Jeremy W. Bray & Gary A. Zarkin & Chris Ringwalt & Junfeng Qi, 2000. "The relationship between marijuana initiation and dropping out of high school," Health Economics, John Wiley & Sons, Ltd., vol. 9(1), pages 9-18.
    3. Victor R. Fuchs, 1982. "Time Preference and Health: An Exploratory Study," NBER Chapters,in: Economic Aspects of Health, pages 93-120 National Bureau of Economic Research, Inc.
    4. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics,in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863 Elsevier.
    5. Charles Register & Donald Williams & Paul Grimes, 2001. "Adolescent Drug Use and Educational Attainment," Education Economics, Taylor & Francis Journals, vol. 9(1), pages 1-18.
    6. Jan C. van Ours, 2006. "Dynamics in the use of drugs," Health Economics, John Wiley & Sons, Ltd., vol. 15(12), pages 1283-1294.
    7. Pinka Chatterji, 2006. "Illicit drug use and educational attainment," Health Economics, John Wiley & Sons, Ltd., vol. 15(5), pages 489-511.
    8. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(03), pages 199-236, June.
    9. repec:aph:ajpbhl:1999:89:10:1549-1554_7 is not listed on IDEAS
    10. Sander, William, 1998. "The effects of schooling and cognitive ability on smoking and marijuana use by young adults," Economics of Education Review, Elsevier, vol. 17(3), pages 317-324, June.
    11. Farrell, Phillip & Fuchs, Victor R. & Fuchs, Victor R., 1982. "Schooling and health : The cigarette connection," Journal of Health Economics, Elsevier, vol. 1(3), pages 217-230, December.
    12. Willis, Robert J., 1987. "Wage determinants: A survey and reinterpretation of human capital earnings functions," Handbook of Labor Economics,in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 1, chapter 10, pages 525-602 Elsevier.
    13. Tetsuji Yamada & Michael Kendix & Tadashi Yamada, 1993. "The Impact of Alcohol Consumption and Marijuana Use on High School Graduation," NBER Working Papers 4497, National Bureau of Economic Research, Inc.
    14. Roebuck, M. Christopher & French, Michael T. & Dennis, Michael L., 2004. "Adolescent marijuana use and school attendance," Economics of Education Review, Elsevier, vol. 23(2), pages 133-141, April.
    15. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    16. Cook, Philip J. & Moore, Michael J., 1993. "Drinking and schooling," Journal of Health Economics, Elsevier, vol. 12(4), pages 411-429, December.
    17. repec:aph:ajpbhl:2003:93:11:1830-1836_3 is not listed on IDEAS
    18. SF Koch & DC Ribar, 2001. "A Siblings Analysis Of The Effects Of Alcohol Consumption Onset On Educational Attainment," Contemporary Economic Policy, Western Economic Association International, vol. 19(2), pages 162-174, April.
    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. Deborah A. Cobb-Clark & Sonja C. Kassenboehmer & Trinh Le & Duncan McVicar & Rong Zhang, 2015. "‘High’-School: The Relationship between Early Marijuana Use and Educational Outcomes," The Economic Record, The Economic Society of Australia, vol. 91(293), pages 247-266, June.
    2. Pudney, Stephen & Bryan, Mark & DelBono, Emilia, 2013. "Licensing and regulation of the cannabis market in England and Wales: Towards a cost-benefit analysis," MPRA Paper 50365, University Library of Munich, Germany.
    3. Daniel I. Rees, 2014. "Does substance use affect educational outcomes?," IZA World of Labor, Institute for the Study of Labor (IZA), pages 1-66, May.
    4. Zhao, Meng & Konishi, Yoshifumi & Glewwe, Paul, 2012. "Does smoking affect schooling? Evidence from teenagers in rural China," Journal of Health Economics, Elsevier, vol. 31(4), pages 584-598.

    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:wly:hlthec:v:19:y:2010:i:11:p:1281-1299. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.