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Cigarette smoking and self-reported health in China

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  • Yen, Steven T.
  • Shaw, W. Douglass
  • Yuan, Yan

Abstract

The effect of cigarette smoking on self-reported or assessed health (SAH) has been considered in several studies, with some surprising results, but smoking behavior has received less attention in studies in countries like China, than in the United States and various European countries. In this manuscript the variation in an ordinal endogenous SAH variable is modeled with an ordinal endogenous cigarette smoking variable, using the copula approach to accommodate skewness in the error distribution. The treatment approach avoids several selection issues that could bias empirical estimates. The empirical model is estimated for a random sample of adult males from nine Chinese provinces in the 2006 China Health and Nutrition Survey. The results for our sample suggest that heavy smokers are more likely to report excellent health. Government and those in health policy might target heavy smokers with the message that quitting does result in benefits, keeping in mind that their own reported assessment of their health is itself a function of several factors.

Suggested Citation

  • Yen, Steven T. & Shaw, W. Douglass & Yuan, Yan, 2010. "Cigarette smoking and self-reported health in China," China Economic Review, Elsevier, vol. 21(4), pages 532-543, December.
  • Handle: RePEc:eee:chieco:v:21:y:2010:i:4:p:532-543
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    1. Pang, Liuyong & Zhao, Zhong & Liu, Sanhong & Zhang, Xinan, 2015. "A mathematical model approach for tobacco control in China," Applied Mathematics and Computation, Elsevier, vol. 259(C), pages 497-509.
    2. Hsieh, Chee-Ruey & Lo, Te-Fen, 2017. "Are smokers too optimistic about their health status: Ex ante perception versus ex post observation," China Economic Review, Elsevier, vol. 43(C), pages 169-183.
    3. Mo Zhou & Isao Igarashi & Koichi Kawabuchi, 2023. "Static and Dynamic Impacts of Internet Use on Self-Rated Health among Adults in China: A Hybrid Model Analysis Based on National Panel Survey Data," IJERPH, MDPI, vol. 20(2), pages 1-13, January.
    4. Zhang, Jun & Yen, Steven T., 2013. "Depressive Symptoms and Endogenous Physical Activity: An Ordered Probability Approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150133, Agricultural and Applied Economics Association.
    5. Yuxi Xiao & Haizheng Li & Belton M. Fleisher, 2015. "The earnings effects of health and health-related activities: a panel data approach," Applied Economics, Taylor & Francis Journals, vol. 47(14), pages 1407-1423, March.

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