IDEAS home Printed from https://ideas.repec.org/p/cch/wpaper/150009.html

The Impact of Public Smoking Bans on Well-Being Externalities: Evidence From A Natural Experiment

Author

Listed:
  • Miaoqing Yang
  • Eugenio Zucchelli

Abstract

Recent studies on the effects of anti-smoking policies on subjective well-being present mixed results and focus mainly on smokers. We contribute to the literature by exploiting the policy experiment provided by the UK public smoking bans and evaluating the impact of smoking bans on the subjective well-being of smokers, non-smokers and couples of different types of smokers. We employ matching techniques combined with flexible difference-in-differences fixed effects panel data models on data from the British Household Panel Survey. We find that the UK public smoking bans appear to have a statistically significant short-term positive impact on the well-being of married individuals, especially among couples with dependent children. These effects appear to be substantial in size, robust to alternative specifications and may be driven by positive externalities due to parental altruism.

Suggested Citation

  • Miaoqing Yang & Eugenio Zucchelli, 2015. "The Impact of Public Smoking Bans on Well-Being Externalities: Evidence From A Natural Experiment," Working Papers 150009, Canadian Centre for Health Economics.
  • Handle: RePEc:cch:wpaper:150009
    as

    Download full text from publisher

    File URL: http://www.canadiancentreforhealtheconomics.ca/wp-content/uploads/2015/06/Yang-Zucchelli.pdf
    File Function: First version, 2015
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Moschion, Julie & Powdthavee, Nattavudh, 2018. "The welfare implications of addictive substances: A longitudinal study of life satisfaction of drug users," Journal of Economic Behavior & Organization, Elsevier, vol. 146(C), pages 206-221.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cch:wpaper:150009. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Adrian Rohit Dass (email available below). General contact details of provider: https://edirc.repec.org/data/cchetca.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.