IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Who does the hat fit? Teenager heterogeneity and the effectiveness of information policies in preventing cannabis use and heavy drinking

  • Fabrice Etilé

    (INRA-CORELA, France)

This paper models heterogeneity in the relationship between exposure to information at school or in the media and cannabis use and heavy drinking, using latent class techniques applied to data on French teenagers collected in 1993. Teenagers cluster in five classes which differ in their tastes for drunkenness and cannabis, and in the correlations between information exposure and cannabis use or heavy drinking. Teenager heterogeneity and habit-formation or precociousness effects limit the effectiveness of general information policies. Improving the impact of prevention requires that interventions be better targeted and personalised. We show how economic theory, latent class techniques and existing psychometric questionnaires can be used to build simple statistical tools for targeting prevention policies. Copyright © 2006 John Wiley & Sons, Ltd.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://hdl.handle.net/10.1002/hec.1090
File Function: Link to full text; subscription required
Download Restriction: no

Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

Volume (Year): 15 (2006)
Issue (Month): 7 ()
Pages: 697-718

as
in new window

Handle: RePEc:wly:hlthec:v:15:y:2006:i:7:p:697-718
Contact details of provider: Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Gail Mitchell Hoyt & Frank J. Chaloupka, 1994. "Effect Of Survey Conditions On Self-Reported Substance Use," Contemporary Economic Policy, Western Economic Association International, vol. 12(3), pages 109-121, 07.
  2. Kamel Jedidi & Harsharanjeet S. Jagpal & Wayne S. DeSarbo, 1997. "Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity," Marketing Science, INFORMS, vol. 16(1), pages 39-59.
  3. Becker, Gary S & Murphy, Kevin M, 1988. "A Theory of Rational Addiction," Journal of Political Economy, University of Chicago Press, vol. 96(4), pages 675-700, August.
  4. Stephen Pudney, 2004. "Keeping off the grass? An econometric model of cannabis consumption in Britain," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 435-453.
  5. John DiNardo & Thomas Lemieux, 1992. "Alcohol, Marijuana, and American Youth: The Unintended Effects of Government Regulation," NBER Working Papers 4212, National Bureau of Economic Research, Inc.
  6. Martin Forster & Andrew Jones, 2000. "The role of tobacco taxes in starting and quitting smoking: duration analysis of British data," Working Papers 176chedp, Centre for Health Economics, University of York.
  7. Smith, V. Kerry & Taylor, Donald H., Jr. & Sloan, Frank A. & Johnson, F. Reed & Desvousges, William H., 2000. "Do Smokers Respond to Health Shocks?," Working Papers 00-08, Duke University, Department of Economics.
  8. Andrew Clark & Fabrice Etilé, 2001. "Do Health Changes Affect Smoking? Evidence from British Panel Data," DELTA Working Papers 2001-16, DELTA (Ecole normale supérieure).
  9. Donald S. Kenkel & Joseph V. Terza, 2001. "The effect of physician advice on alcohol consumption: count regression with an endogenous treatment effect," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(2), pages 165-184.
  10. Park, Jaehong & Davis, George C., 2000. "The Theory And Econometrics Of Health Information In Cross-Sectional Nutrient Demand Analysis," Faculty Paper Series 24015, Texas A&M University, Department of Agricultural Economics.
  11. Orphanides, Athanasios & Zervos, David, 1995. "Rational Addiction with Learning and Regret," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 739-58, August.
  12. Fuchs, Victor R., 2004. "Reflections on the socio-economic correlates of health," Journal of Health Economics, Elsevier, vol. 23(4), pages 653-661, July.
  13. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
  14. Douglas, Stratford & Hariharan, Govind, 1994. "The hazard of starting smoking: Estimates from a split population duration model," Journal of Health Economics, Elsevier, vol. 13(2), pages 213-230, July.
  15. Clark, Andrew E. & Etilé, Fabrice & Postel-Vinay, Fabien & Senik, Claudia & Van der Straeten, Karine, 2004. "Heterogeneity in Reported Well-Being: Evidence from Twelve European Countries," IZA Discussion Papers 1339, Institute for the Study of Labor (IZA).
  16. Andrew M. Jones & José M. Labeaga, 2003. "Individual heterogeneity and censoring in panel data estimates of tobacco expenditure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 157-177.
  17. Jonathan Gruber & Botond Köszegi, 2001. "Is Addiction "Rational"? Theory And Evidence," The Quarterly Journal of Economics, MIT Press, vol. 116(4), pages 1261-1303, November.
  18. R. L. Pacula & M. Grossman & F. J. Chaloupka & P. M. O'Malley & L. Johnston & M. C. Farrelly, 2000. "Marijuana and Youth," NBER Working Papers 7703, National Bureau of Economic Research, Inc.
    • Patrick M. O'Malley & Michael Grossman & Frank J. Chaloupka, 2001. "Marijuana and Youth," NBER Chapters, in: Risky Behavior among Youths: An Economic Analysis, pages 271-326 National Bureau of Economic Research, Inc.
  19. Suranovic, Steven M. & Goldfarb, Robert S. & Leonard, Thomas C., 1999. "An economic theory of cigarette addiction," Journal of Health Economics, Elsevier, vol. 18(1), pages 1-29, January.
  20. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
  21. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:wly:hlthec:v:15:y:2006:i:7:p:697-718. 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)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.