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Quitting behaviour of cigarette smokers. Are there direct effects of a screening program?

Author

Listed:
  • Line Bretteville-Jensen, Anne

    (Norwegian Institute for Alcohol and Drug Research (SIRUS) and Institute of Health Management and Health Economics, University of Oslo)

  • Biørn, Erik

    (Dept. of Economics, University of Oslo)

  • Selmer, Randi

    (Norwegian Institute for Public Health)

Abstract

This paper aims at i) providing effect estimates of a wide range of covariates and traditional policy means to increase the smoking cessation rate, ii) offering evidence on alternative interventions for health authorities, and iii) examining and comparing three groups of smokers with varying lengths of their smoking career (including one group that has smoked 25 years). All smokers have been subject to a three-wave cardiovascular screening and followed up over a maximum of 14 years. This rich panel data set has been merged with administrative registers. A flexible discrete-time duration model is used to examine the effect of 5 categories of explanatory variables: personal characteristics; indicators of addiction status; economic factors; health and health shock variables; governmental interventions. Most covariates differ across groups, but for all groups did the screening participation years stand out as important. Possible policy implications for future cessation interventions are discussed.

Suggested Citation

  • Line Bretteville-Jensen, Anne & Biørn, Erik & Selmer, Randi, 2011. "Quitting behaviour of cigarette smokers. Are there direct effects of a screening program?," Memorandum 07/2011, Oslo University, Department of Economics.
    • Handle: RePEc:hhs:osloec:2011_007
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    File URL: https://www.sv.uio.no/econ/english/research/unpublished-works/working-papers/pdf-files/2011/Memo-07-2011.pdf
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Smoking behaviour; Cigarette cessation; Duration model; Quitting hazard; Long-term smokers; Health status and shocks; Screening; Policy intervention; Panel data;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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