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Using Search Query Surveillance to Monitor Tax Avoidance and Smoking Cessation following the United States' 2009 “SCHIP” Cigarette Tax Increase

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  • John W Ayers
  • Kurt Ribisl
  • John S Brownstein

Abstract

Smokers can use the web to continue or quit their habit. Online vendors sell reduced or tax-free cigarettes lowering smoking costs, while health advocates use the web to promote cessation. We examined how smokers' tax avoidance and smoking cessation Internet search queries were motivated by the United States' (US) 2009 State Children's Health Insurance Program (SCHIP) federal cigarette excise tax increase and two other state specific tax increases. Google keyword searches among residents in a taxed geography (US or US state) were compared to an untaxed geography (Canada) for two years around each tax increase. Search data were normalized to a relative search volume (RSV) scale, where the highest search proportion was labeled 100 with lesser proportions scaled by how they relatively compared to the highest proportion. Changes in RSV were estimated by comparing means during and after the tax increase to means before the tax increase, across taxed and untaxed geographies. The SCHIP tax was associated with an 11.8% (95% confidence interval [95%CI], 5.7 to 17.9; p

Suggested Citation

  • John W Ayers & Kurt Ribisl & John S Brownstein, 2011. "Using Search Query Surveillance to Monitor Tax Avoidance and Smoking Cessation following the United States' 2009 “SCHIP” Cigarette Tax Increase," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-7, March.
    • Handle: RePEc:plo:pone00:0016777
    DOI: 10.1371/journal.pone.0016777
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    1. Nikolaos Askitas & Klaus F. Zimmermann, 2009. "Google Econometrics and Unemployment Forecasting," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 55(2), pages 107-120.
    2. Austan Goolsbee & Michael F. Lovenheim & Joel Slemrod, 2010. "Playing with Fire: Cigarettes, Taxes, and Competition from the Internet," American Economic Journal: Economic Policy, American Economic Association, vol. 2(1), pages 131-154, February.
    3. Kelley Lee, 2008. "Tobacco Control Yields Clear Dividends for Health and Wealth," PLOS Medicine, Public Library of Science, vol. 5(9), pages 1-2, September.
    4. Thomas D. Cook & William R. Shadish & Vivian C. Wong, 2008. "Three conditions under which experiments and observational studies produce comparable causal estimates: New findings from within-study comparisons," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(4), pages 724-750.
    5. Stehr, Mark, 2005. "Cigarette tax avoidance and evasion," Journal of Health Economics, Elsevier, vol. 24(2), pages 277-297, March.
    6. West, S.G. & Duan, N. & Pequegnat, W. & Gaist, P. & Des Jarlais, D.C. & Holtgrave, D. & Szapocznik, J. & Fishbein, M. & Rapkin, B. & Clatts, M. & Mullen, P.D., 2008. "Alternatives to the randomized controlled trial," American Journal of Public Health, American Public Health Association, vol. 98(8), pages 1359-1366.
    7. Metzger, K.B. & Mostashari, F. & Kerker, B.D., 2005. "Use of pharmacy data to evaluate smoking regulations' impact on sales of nicotine replacement therapies in New York City," American Journal of Public Health, American Public Health Association, vol. 95(6), pages 1050-1055.
    8. Jeremy Ginsberg & Matthew H. Mohebbi & Rajan S. Patel & Lynnette Brammer & Mark S. Smolinski & Larry Brilliant, 2009. "Detecting influenza epidemics using search engine query data," Nature, Nature, vol. 457(7232), pages 1012-1014, February.
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    Cited by:

    1. Lucas J Carr & Shira I Dunsiger, 2012. "Search Query Data to Monitor Interest in Behavior Change: Application for Public Health," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-3, October.

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