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The Effects of Smoking Ban Regulations on Individual Smoking Rates

Author

Listed:
  • Roger Wilkins

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

  • David Black

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

  • Hielke Buddelmeyer

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

Abstract

This paper describes the dynamics of smoking behaviour in Australia and investigates what impact smoking ban regulations have, if any, on individual smoking patterns. Such legislation receives a lot of press attention when announced and introduced, but its effect on individuals’ smoking behaviour has received little research attention. The main argument used to motivate the introduction of tougher smoking bans is reducing exposure of non-smokers to second hand smoke. From a public policy perspective it is important to know if these policies also affect whether people smoke, or if they only influence when and where people smoke. The Household, Income and Labour Dynamics in Australia (HILDA) survey data allow us to track individuals’ smoking behaviour over the period 2001 to 2003, during which time smoking ban initiatives in Queensland, Victoria and the Northern Territory came into effect. We exploit this variation over time and across states to assess the impact of tougher smoking regulations. Our findings indicate that smoking is strongly correlated with education, gender, early life experiences, alcohol consumption, income, and other characteristics. Conditional on being a smoker in the previous period, we find that the single biggest predictor of quitting is pregnancy. Few other characteristics are able to explain who quits. Conditional on not smoking in the previous period, people who drink daily or weekly and couples who separated or divorced between the previous and current periods are most likely to take up smoking. The effect of the introduction of smoking ban regulations on individuals’ smoking behaviour is generally in the expected direction, albeit not statistically significant for most types of individual. However, we find a significant ‘rebellion’ effect among 18 to 24 year old smokers, with the introduction of smoking bans found to increase the likelihood that they continue to smoke.

Suggested Citation

  • Roger Wilkins & David Black & Hielke Buddelmeyer, 2005. "The Effects of Smoking Ban Regulations on Individual Smoking Rates," Melbourne Institute Working Paper Series wp2005n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  • Handle: RePEc:iae:iaewps:wp2005n13
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    File URL: http://melbourneinstitute.unimelb.edu.au/downloads/working_paper_series/wp2005n13.pdf
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    References listed on IDEAS

    as
    1. Chapman, S. & Borland, R. & Scollo, M. & Brownson, R.C. & Dominello, A. & Woodward, S., 1999. "The impact of smoke-free workplaces on declining cigarette consumption in Australia and the United States," American Journal of Public Health, American Public Health Association, vol. 89(7), pages 1018-1023.
    2. Bardsley, Peter & Olekalns, Nilss, 1999. "Cigarette and Tobacco Consumption: Have Anti-smoking Policies Made a Difference?," The Economic Record, The Economic Society of Australia, vol. 75(230), pages 225-240, September.
    3. Lorenzo Cappellari & Stephen P. Jenkins, 2004. "Modelling low income transitions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 593-610.
    4. Michael P. Kidd & Sandra Hopkins, 2004. "The Hazards of Starting and Quitting Smoking: Some Australian Evidence," The Economic Record, The Economic Society of Australia, vol. 80(249), pages 177-192, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Abel Brodeur, 2012. "Smoking, Income and Subjective Well-Being: Evidence from Smoking Bans," Working Papers halshs-00664269, HAL.
    2. Michael L. Marlow, 2012. "Effectiveness of Massachusetts’ comprehensive tobacco control program," Applied Economics, Taylor & Francis Journals, vol. 44(3), pages 373-385, January.
    3. Josten, Cecily & Lordan, Grace, 2020. "The interaction between personality and health policy: Empirical evidence from the UK smoking bans," Economics & Human Biology, Elsevier, vol. 38(C).
    4. Poutvaara, Panu & Siemers, Lars-H. R., 2008. "Smoking and social interaction," Journal of Health Economics, Elsevier, vol. 27(6), pages 1503-1515, December.
    5. Barrie Craven & Michael L. Marlow, 2008. "Economic Effects Of Smoking Bans On Restaurants And Pubs," Economic Affairs, Wiley Blackwell, vol. 28(4), pages 57-61, December.
    6. Jenny Williams & Christopher Skeels, 2006. "The Impact of Cannabis Use on Health," De Economist, Springer, vol. 154(4), pages 517-546, December.
    7. Michael L. Marlow, 2008. "Honestly, Who Else Would Fund Such Research? Reflections of a Non-Smoking Scholar," Econ Journal Watch, Econ Journal Watch, vol. 5(2), pages 240-268, May.
    8. Silvia Tiezzi, 2009. "The Economic Impact of Clean Indoor Air Laws: A Review of Alternative Approaches and of Empirical findings," Department of Economics University of Siena 570, Department of Economics, University of Siena.
    9. Peera Tangtammaruk,, 2017. "An assessment of smoking and non-smoking student preferences for the Thai smoking warning signs," Business and Economic Horizons (BEH), Prague Development Center, vol. 13(5), pages 591-603, December.
    10. Shantanu Bagchi & James Feigenbaum, 2014. "Is Smoking a Fiscal Good?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(1), pages 170-190, January.

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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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