IDEAS home Printed from https://ideas.repec.org/a/bla/coecpo/v26y2008i3p482-492.html
   My bibliography  Save this article

Comment—Alcohol Advertising In Magazines And Youth Readership: Are Youths Disproportionately Exposed?

Author

Listed:
  • MICHAEL SIEGEL
  • CHARLES KING
  • JOSHUA OSTROFF
  • CRAIG ROSS
  • KAREN DIXON
  • DAVID H. JERNIGAN

Abstract

This article investigates the relationship between alcohol advertising in magazines and youth readership, while controlling for a set of magazine and readership variables related to the demand for advertising space. It reconstructs and reanalyzes a data set including count data for alcohol ads placed in 28 magazines in 2001‐2003 that was the basis for a previous study, which concluded that alcohol advertisers do not target youths. We address the problem of collinearity in that data set and add an explanatory variable to explicitly model the hypothesis that alcohol advertising is preferentially directed to a young adult audience. We find that the number of alcohol advertisements in magazines increases significantly with the proportion of youth readers, even after controlling for young adult readership. Our results indicate that youths are disproportionately exposed to alcohol advertising and that reducing youth exposure to alcohol advertising remains an important public policy concern. (JEL L82, L66, M37)

Suggested Citation

  • Michael Siegel & Charles King & Joshua Ostroff & Craig Ross & Karen Dixon & David H. Jernigan, 2008. "Comment—Alcohol Advertising In Magazines And Youth Readership: Are Youths Disproportionately Exposed?," Contemporary Economic Policy, Western Economic Association International, vol. 26(3), pages 482-492, July.
    • Handle: RePEc:bla:coecpo:v:26:y:2008:i:3:p:482-492
    DOI: 10.1111/j.1465-7287.2007.00088.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1465-7287.2007.00088.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1465-7287.2007.00088.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Henry Saffer & Dhaval Dave, 2006. "Alcohol advertising and alcohol consumption by adolescents," Health Economics, John Wiley & Sons, Ltd., vol. 15(6), pages 617-637, June.
    2. Jon P. Nelson, 2006. "Alcohol Advertising In Magazines: Do Beer, Wine, And Spirits Ads Target Youth?," Contemporary Economic Policy, Western Economic Association International, vol. 24(3), pages 357-369, July.
    3. J. Scott Long & Jeremy Freese, 2001. "Predicted probabilities for count models," Stata Journal, StataCorp LLC, vol. 1(1), pages 51-57, November.
    4. Grube, J.W. & Wallack, L., 1994. "Television beer advertising and drinking knowledge, beliefs, and intentions among schoolchildren," American Journal of Public Health, American Public Health Association, vol. 84(2), pages 254-259.
    5. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    6. William H. Greene, 1994. "Accounting for Excess Zeros and Sample Selection in Poisson and Negative Binomial Regression Models," Working Papers 94-10, New York University, Leonard N. Stern School of Business, Department of Economics.
    Full references (including those not matched with items on IDEAS)

    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. Jon P. Nelson, 2008. "Reply To Siegel Et Al.: Alcohol Advertising In Magazines And Disproportionate Exposure," Contemporary Economic Policy, Western Economic Association International, vol. 26(3), pages 493-504, July.
    2. Llerena, Freddy, 2012. "Determinantes de la fecundidad en el Ecuador [Determinants of fertility in Ecuador]," MPRA Paper 39887, University Library of Munich, Germany, revised Feb 2012.
    3. Cornelia Lawson, 2013. "Academic Inventions Outside the University: Investigating Patent Ownership in the UK," Industry and Innovation, Taylor & Francis Journals, vol. 20(5), pages 385-398, July.
    4. Mihaela DAVID, 2014. "Modeling The Frequency Of Claims In Auto Insurance With Application To A French Case," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 13, pages 69-85, June.
    5. Greene, William, 2007. "Functional Form and Heterogeneity in Models for Count Data," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(2), pages 113-218, August.
    6. Christopher J. W. Zorn, 1998. "An Analytic and Empirical Examination of Zero-Inflated and Hurdle Poisson Specifications," Sociological Methods & Research, , vol. 26(3), pages 368-400, February.
    7. Agrawal, Ajay & Cockburn, Iain, 2003. "The anchor tenant hypothesis: exploring the role of large, local, R&D-intensive firms in regional innovation systems," International Journal of Industrial Organization, Elsevier, vol. 21(9), pages 1227-1253, November.
    8. Zhen Xu & G. Cornelis van Kooten, 2013. "Count Models and Wildfire in British Columbia," Working Papers 2013-06, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    9. Niklas Elert, 2014. "What determines entry? Evidence from Sweden," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 55-92, August.
    10. Serge Garcia & Julien Jacob, 2010. "La valeur récréative de la forêt en France : une approche par les coûts de déplacement," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 91(1), pages 43-71.
    11. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
    12. Wu, Jie, 2011. "Asymmetric roles of business ties and political ties in product innovation," Journal of Business Research, Elsevier, vol. 64(11), pages 1151-1156.
    13. Nicolas Carayol, 2006. "La production de brevets par les chercheurs et enseignants-chercheurs.. Le cas de l'université Louis Pasteur," Economie & Prévision, La Documentation Française, vol. 0(4), pages 117-134.
    14. Jonas Schreyögg & Markus Grabka, 2010. "Copayments for ambulatory care in Germany: a natural experiment using a difference-in-difference approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(3), pages 331-341, June.
    15. Levan Elbakidze & Rodolfo M. Nayga Jr. & Hao Li & Chris McIntosh, 2014. "Value elicitation for multiple quantities of a quasi-public good using open ended choice experiments and uniform price auctions," Agricultural Economics, International Association of Agricultural Economists, vol. 45(2), pages 253-265, March.
    16. Chahir Zaki & Fida Karam, 2017. "Why Don’t MENA Countries Trade More? The Curse of Bad Institutions," Working Papers 1148, Economic Research Forum, revised 10 2003.
    17. List, John A., 2001. "US county-level determinants of inbound FDI: evidence from a two-step modified count data model," International Journal of Industrial Organization, Elsevier, vol. 19(6), pages 953-973, May.
    18. Schultz, Carsten & Schreyoegg, Jonas & von Reitzenstein, Constantin, 2013. "The moderating role of internal and external resources on the performance effect of multitasking: Evidence from the R&D performance of surgeons," Research Policy, Elsevier, vol. 42(8), pages 1356-1365.
    19. repec:wsi:acsxxx:v:21:y:2019:i:08:n:s1363919619500142 is not listed on IDEAS
    20. Krzysztof Pytka, 2011. "Determinants of Involuntary Job Termination in the Polish Labor Market," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 3(1), pages 25-38, March.
    21. John E. Rolph & John L. Adams & Kimberly A. McGuigan, 2007. "Identifying Malpractice‐Prone Physicians," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 4(1), pages 125-153, March.

    More about this item

    JEL classification:

    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

    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:bla:coecpo:v:26:y:2008:i:3:p:482-492. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/weaaaea.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.