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Smoking prevalence in the United States: Differences across socioeconomic groups

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Abstract

This paper uses recent US state-level data to examine smoking behavior across four population groups divided by age, literacy, income and ethnicity. Another contribution lies in the consideration of various smoking control policies and the full costs of smoking. Overall, the results show that non-price smoking policies are relatively more effective than price or tax policies in reducing smoking prevalence and that these policies gain effectiveness as the population begins to age.

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Notes

  1. Higher income individuals are also generally likely to be more educated and to have health insurance coverage.

  2. This study uses cross-sectional data to estimate the determinants of smoking prevalence. With appropriate data, one could estimate the demand for cigarettes through various other methods such as rational-addiction models (see Becker and Murphy 1988).

  3. We also had data on black, Asian and Native American smokers. However, missing observations in these cases resulted in too few degrees of freedom to yield meaningful results.

  4. Specifically, POLICYwork includes survey responses to whether there were smoking bans in common indoor areas and in work areas and POLICYhome includes instances where smoking was banned in the respondents’ homes (see CDC for details).

  5. CONTROL is a more general measure than POLICYwork and POLICYhome as it includes smoking-related health education and cessation assistance. Furthermore, some POLICYwork and most POLICYhome are likely to be voluntary and not necessarily state-mandated.

  6. However, the success of some initiatives like smoking cessation programs is somewhat suspect due to high relapse rates.

  7. Details are available upon request.

  8. See Townsend (1987) for the responsiveness of smokers across different social classes to tax changes in the UK.

  9. Varying insurance coverages between the two groups (e.g., personal health insurance, public insurance or group insurance) might affect the extent to which individuals feel the immediate effects of higher medical costs.

  10. Details are available upon request.

  11. Another interesting group that could be included, given comparable data, would be gender (see Goel and Nelson 2005 and Townsend et al. 1994 for gender-differential smoking studies based on earlier data for the USA and the UK, respectively).

  12. The effectiveness of workplace smoking restrictions has been noted in the literature. For example, Fichtenberg and Glantz (2002) conduct a meta-analysis of evidence from Australia, Canada, Germany and the USA and find support for the effectiveness of smoke-free workplaces, both in their impacts on smokers and on non-smokers. Also see Chaloupka and Saffer (1988) for a study of the USA and Wakefield et al. (1992) for Australia.

  13. An important caveat to keep in mind, however, is that we are unable to measure smoking intensity by distinguishing between heavy and casual (occasional) smokers.

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Correspondence to Rajeev K. Goel.

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Insightful comments of a referee and research assistance of Rebecca Hodel and Jim Saunoris are appreciated. Support of the Katie School of Insurance is gratefully acknowledged.

Appendix

Appendix

Table 6

Table 6 Determinants of smoking prevalence: results from pooled data across different groups (dependent variable: smoking prevalence)

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Goel, R.K. Smoking prevalence in the United States: Differences across socioeconomic groups. J Econ Finan 32, 195–205 (2008). https://doi.org/10.1007/s12197-007-9013-3

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