IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v39y2007i1p31-41.html
   My bibliography  Save this article

The demand for smokeless tobacco among male high school students in the United States: the impact of taxes, prices and policies

Author

Listed:
  • John Tauras
  • Lisa Powell
  • Frank Chaloupka
  • Hana Ross

Abstract

Despite the deleterious effects of smokeless tobacco use, very little is known about the effects of tobacco control policies on smokeless tobacco demand. This paper uses data extracted from the 1995-2001 National Youth Risk Behavior Surveys (YRBS) augmented with tobacco taxes, prices and policies to estimate smokeless tobacco demand equations among male high school students. The estimates indicate that higher smokeless tobacco taxes would significantly reduce the number of male students who use smokeless tobacco and the number of days smokeless tobacco users use smokeless tobacco. Moreover, smokeless tobacco products and cigarettes were found to be economic complements in consumption.

Suggested Citation

  • John Tauras & Lisa Powell & Frank Chaloupka & Hana Ross, 2007. "The demand for smokeless tobacco among male high school students in the United States: the impact of taxes, prices and policies," Applied Economics, Taylor & Francis Journals, vol. 39(1), pages 31-41.
    • Handle: RePEc:taf:applec:v:39:y:2007:i:1:p:31-41
    DOI: 10.1080/00036840500427940
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840500427940
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036840500427940?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. John Mullahy, 1998. "Much Ado About Two: Reconsidering Retransformation and the Two-Part Model in Health Economics," NBER Technical Working Papers 0228, National Bureau of Economic Research, Inc.
    2. Richard Ault & Robert Ekelund & John Jackson & Richard Saba, 2004. "Smokeless tobacco, smoking cessation and harm reduction: an economic analysis," Applied Economics, Taylor & Francis Journals, vol. 36(1), pages 17-29.
    3. Frank J. Chaloupka & John A. Tauras & Michael Grossman, 1997. "Public Policy and Youth Smokeless Tobacco Use," Southern Economic Journal, John Wiley & Sons, vol. 64(2), pages 503-516, October.
    4. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    5. Robert L. Ohsfeldt & Raymond G. Boyle & Eli I. Capilouto, 1999. "Tobacco Taxes, Smoking Restrictions, and Tobacco Use," NBER Chapters, in: The Economic Analysis of Substance Use and Abuse: An Integration of Econometric and Behavioral Economic Research, pages 15-30, National Bureau of Economic Research, Inc.
    6. Mullahy, John, 1998. "Much ado about two: reconsidering retransformation and the two-part model in health econometrics," Journal of Health Economics, Elsevier, vol. 17(3), pages 247-281, June.
    7. Manning, Willard G., 1998. "The logged dependent variable, heteroscedasticity, and the retransformation problem," Journal of Health Economics, Elsevier, vol. 17(3), pages 283-295, June.
    8. Blough, David K. & Madden, Carolyn W. & Hornbrook, Mark C., 1999. "Modeling risk using generalized linear models," Journal of Health Economics, Elsevier, vol. 18(2), pages 153-171, April.
    9. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
    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. Dave, Dhaval & Saffer, Henry, 2013. "Demand for smokeless tobacco: Role of advertising," Journal of Health Economics, Elsevier, vol. 32(4), pages 682-697.
    2. Kostova, Deliana & Dave, Dhaval, 2015. "Smokeless tobacco use in India: Role of prices and advertising," Social Science & Medicine, Elsevier, vol. 138(C), pages 82-90.
    3. Scott Adams & Chad D. Cotti & Daniel M. Fuhrmann, 2013. "Smokeless Tobacco Use Following Smoking Bans in Bars," Southern Economic Journal, John Wiley & Sons, vol. 80(1), pages 147-161, July.
    4. Chad Cotti & Erik Nesson & Nathan Tefft, 2016. "The Effects of Tobacco Control Policies on Tobacco Products, Tar, and Nicotine Purchases among Adults: Evidence from Household Panel Data," American Economic Journal: Economic Policy, American Economic Association, vol. 8(4), pages 103-123, November.
    5. Vinish Shrestha, 2022. "Revisiting the Effects of Cigarette Taxes on Smoking Outcomes," Working Papers 2022-02, Towson University, Department of Economics, revised Oct 2022.
    6. Yuqing Zheng & Chen Zhen & Daniel Dench & James M. Nonnemaker, 2017. "U.S. Demand for Tobacco Products in a System Framework," Health Economics, John Wiley & Sons, Ltd., vol. 26(8), pages 1067-1086, August.
    7. Yi-Chi Chen & Chang-Ching Lin, 2010. "Threshold Effects in Cigarette Addiction: An Application of the Threshold Model in Dynamic Panels," Economics Bulletin, AccessEcon, vol. 30(4), pages 3128-3142.
    8. Brandyn F. Churchill, 2024. "State‐mandated school‐based BMI assessments and self‐reported adolescent health behaviors," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 43(1), pages 63-86, January.
    9. R. Duarte & J. Escario & J. Molina, 2014. "Are estimated peer effects on smoking robust? Evidence from adolescent students in Spain," Empirical Economics, Springer, vol. 46(3), pages 1167-1179, May.

    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. Jones, A.M, 2010. "Models For Health Care," Health, Econometrics and Data Group (HEDG) Working Papers 10/01, HEDG, c/o Department of Economics, University of York.
    2. Buntin, Melinda Beeuwkes & Zaslavsky, Alan M., 2004. "Too much ado about two-part models and transformation?: Comparing methods of modeling Medicare expenditures," Journal of Health Economics, Elsevier, vol. 23(3), pages 525-542, May.
    3. Keane, Michael & Stavrunova, Olena, 2016. "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, vol. 190(1), pages 62-78.
    4. Marcel Bilger & Willard G. Manning, 2015. "Measuring Overfitting In Nonlinear Models: A New Method And An Application To Health Expenditures," Health Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 75-85, January.
    5. Jay Dev Dubey, 2021. "Measuring Income Elasticity of Healthcare-Seeking Behavior in India: A Conditional Quantile Regression Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 767-793, December.
    6. Manning, Willard G. & Basu, Anirban & Mullahy, John, 2005. "Generalized modeling approaches to risk adjustment of skewed outcomes data," Journal of Health Economics, Elsevier, vol. 24(3), pages 465-488, May.
    7. Galina Besstremyannaya, 2012. "Estimating income equity in social health insurance system," Working Papers w0172, Center for Economic and Financial Research (CEFIR).
    8. Galina Besstremyannaya, 2012. "Estimating income equity in social health insurance system," Working Papers w0172, New Economic School (NES).
    9. Hao Yu, 2017. "China’s medical savings accounts: an analysis of the price elasticity of demand for health care," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(6), pages 773-785, July.
    10. Cantoni, Eva & Ronchetti, Elvezio, 2006. "A robust approach for skewed and heavy-tailed outcomes in the analysis of health care expenditures," Journal of Health Economics, Elsevier, vol. 25(2), pages 198-213, March.
    11. Liu, Lei & Conaway, Mark R. & Knaus, William A. & Bergin, James D., 2008. "A random effects four-part model, with application to correlated medical costs," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4458-4473, May.
    12. Basu, A & Polsky, D & Manning, W G, 2008. "Use of propensity scores in non-linear response models: The case for health care expenditures," Health, Econometrics and Data Group (HEDG) Working Papers 08/11, HEDG, c/o Department of Economics, University of York.
    13. Andreas Bayerstadler & Franz Benstetter & Christian Heumann & Fabian Winter, 2014. "A predictive modeling approach to increasing the economic effectiveness of disease management programs," Health Care Management Science, Springer, vol. 17(3), pages 284-301, September.
    14. Farrell, Susan & Manning, Willard G. & Finch, Michael D., 2003. "Alcohol dependence and the price of alcoholic beverages," Journal of Health Economics, Elsevier, vol. 22(1), pages 117-147, January.
    15. Kathleen Carey & Theodore Stefos, 2011. "Measuring the cost of hospital adverse patient safety events," Health Economics, John Wiley & Sons, Ltd., vol. 20(12), pages 1417-1430, December.
    16. Besstremyannaya, Galina, 2017. "Measuring income equity in the demand for healthcare with finite mixture models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 5-29.
    17. Steven C. Hill & G. Edward Miller, 2010. "Health expenditure estimation and functional form: applications of the generalized gamma and extended estimating equations models," Health Economics, John Wiley & Sons, Ltd., vol. 19(5), pages 608-627, May.
    18. Brilleman, Samuel L. & Gravelle, Hugh & Hollinghurst, Sandra & Purdy, Sarah & Salisbury, Chris & Windmeijer, Frank, 2014. "Keep it simple? Predicting primary health care costs with clinical morbidity measures," Journal of Health Economics, Elsevier, vol. 35(C), pages 109-122.
    19. Samuel L Brilleman & Hugh Gravelle & Sandra Hollinghurst & Sarah Purdy & Chris Salisbury & Frank Windmeijer, 2011. "Keep it Simple? Predicting Primary Health Care Costs with Measures of Morbidity and Multimorbidity," Working Papers 072cherp, Centre for Health Economics, University of York.
    20. Borislava Mihaylova & Andrew Briggs & Anthony O'Hagan & Simon G. Thompson, 2011. "Review of statistical methods for analysing healthcare resources and costs," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 897-916, August.

    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:taf:applec:v:39:y:2007:i:1:p:31-41. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.