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Smoking Behavior of Older Adults: A Panel Data Analysis Using HRS

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  • Kajal Lahiri

    (University at Albany, SUNY)

  • Xian Li

    (University at Albany, SUNY)

Abstract

Using longitudinal data from Health and Retirement Surveys over 1992–2010, this paper analyzes decisions by older American to continue smoking and the number of cigarettes to consume using two-part hurdle models with correlated effects. We build on the existing literature by incorporating a myriad of factors including cigarette prices, health shocks and smoke-free laws in one econometric framework. Our estimates indicate that higher cigarette prices play an important role in both reducing participation and the intensity of consumption even for this adult population. In addition, health shocks, as measured by newly diagnosed diseases, raise the probability of quitting, highlighting the ‘curative’ aspects of cessation. However, we find very little effect of health on smoking intensity if an older adult does not quit after a health shock. Per capita cigarette consumption in the US declined by over 64% during the period. We show that increased cigarette prices and health shocks together contribute almost equally to explain nearly 86% of the decline, with little that can be attributed to smoking bans and anti-smoking sentiment.

Suggested Citation

  • Kajal Lahiri & Xian Li, 2020. "Smoking Behavior of Older Adults: A Panel Data Analysis Using HRS," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(3), pages 495-523, September.
  • Handle: RePEc:spr:jqecon:v:18:y:2020:i:3:d:10.1007_s40953-020-00196-x
    DOI: 10.1007/s40953-020-00196-x
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    More about this item

    Keywords

    Smoking cessation; Price elasticity; Health shocks; Hurdle model; Correlated random effects; Self-selection; Anti-smoking laws;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

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