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The effects of smoking bans on self-assessed health: evidence from Germany

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  • Daniel Kuehnle
  • Christoph Wunder

Abstract

The 16 German federal states introduced smoking bans on different dates during 2007 and 2008. These bans restricted smoking in enclosed public places, particularly in restaurants and bars. This study examines the effects of smoking bans on self-assessed health. Using data from the Socio-Economic Panel (SOEP), difference-in-differences estimations provide evidence for health improvements for the population at large. Health benefits from the secondhand smokefree environment are equivalent to an increase in household income of approximately 30%. Further subgroup analyses show that health improvements are largest among young non-smokers (below 30 years) whereas smokers report no or even adverse health effects in response to bans. Exploiting differences in the dates of introduction and enforcement, we find no evidence that the effects of bans depend on enforcement measures.

Suggested Citation

  • Daniel Kuehnle & Christoph Wunder, 2013. "The effects of smoking bans on self-assessed health: evidence from Germany," Working Papers 140, Bavarian Graduate Program in Economics (BGPE).
  • Handle: RePEc:bav:wpaper:140_kuehnlewunder
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    Cited by:

    1. Michael Kvasnicka & Thomas Siedler & Nicolas R. Ziebarth, 2018. "The health effects of smoking bans: Evidence from German hospitalization data," Health Economics, John Wiley & Sons, Ltd., vol. 27(11), pages 1738-1753, November.
    2. Wissmann, Daniel, 2020. "Finally a Smoking Gun," Discussion Papers in Economics 73026, University of Munich, Department of Economics.
    3. Kuehnle, Daniel, 2019. "How effective are pictorial warnings on tobacco products? New evidence on smoking behaviour using Australian panel data," Journal of Health Economics, Elsevier, vol. 67(C).
    4. 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).
    5. M. A. Kaneva, 2021. "Health Capital Estimates for Russian Regions in 2004–2018," Regional Research of Russia, Springer, vol. 11(4), pages 524-532, October.
    6. Odermatt, Reto & Stutzer, Alois, 2015. "Smoking bans, cigarette prices and life satisfaction," Journal of Health Economics, Elsevier, vol. 44(C), pages 176-194.
    7. Palali, Ali & van Ours, Jan C., 2017. "The Impact of Tobacco Control Policies on Smoking Initiation in Europe," CEPR Discussion Papers 12201, C.E.P.R. Discussion Papers.
    8. René Petilliot, 2018. "The (Short-Term) Individual Welfare Consequences of an Alcohol Ban," SOEPpapers on Multidisciplinary Panel Data Research 979, DIW Berlin, The German Socio-Economic Panel (SOEP).
    9. Chadi, Cornelia, 2018. "Smoking Bans, Leisure Time, and Subjective Well-being," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181615, Verein für Socialpolitik / German Economic Association.
    10. Daniel Kuehnle & Christoph Wunder, 2017. "The Effects of Smoking Bans on Self‐Assessed Health: Evidence from Germany," Health Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 321-337, March.
    11. Petilliot, René, 2018. "The (short-term) individual welfare consequences of an alcohol ban," FZG Discussion Papers 67, University of Freiburg, Research Center for Generational Contracts (FZG).
    12. Angela Daley & Muntasir Rahman & Barry Watson, 2021. "A breath of fresh air: The effect of public smoking bans on Indigenous youth," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1517-1539, June.
    13. Jan (J.C.) van Ours & Ali Palali, 2017. "The Impact of Tobacco Control Policies on Smoking Initiation in Europe," Tinbergen Institute Discussion Papers 17-074/V, Tinbergen Institute.
    14. Awaworyi Churchill, Sefa & Smyth, Russell, 2021. "Energy poverty and health: Panel data evidence from Australia," Energy Economics, Elsevier, vol. 97(C).

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    More about this item

    Keywords

    smoking bans; self-assessed health; difference-in-differences;
    All these keywords.

    JEL classification:

    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I10 - Health, Education, and Welfare - - Health - - - General

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