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Unravelling the influence of smoking initiation and cessation on premature mortality using a common latent factor model

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Author Info
Silvia Balia
Andrew M. Jones

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Abstract

Duration models for lifespan and smoking, that focus on the socio-economic gradient in smoking durations and length of life, are estimated controlling for individual-specific unobservable heterogeneity by means of a latent factor model. The latent factor influences the risk of starting and quitting smoking as well as the hazard of mortality. Frailty could in°uence smoking behaviour through two mechanisms: the effect of life expectancy on initiation of smok- ing and the impact of adverse health events on quitting. Our findings suggest that individual-specific preference for experimentation, which leads those peo- ple who start smoking soonest to quit early, is a potential source of spurious correlation between smoking durations. They also suggest that frailty acts according to both mechanisms, driving selection into early smoking initiation as well as selection into early smoking cessation. Overall, determinants of smoking durations and mortality hazard are largely unaffected by unobserv- able heterogeneity. However, the latent factor model strengthens the results of the univariate models suggesting that increasing the quitting rate and reduc- ing the duration of smoking would decrease premature mortality. Whereas, prompting people to delay starting would shorten the length of time spent smoking.

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Publisher Info
Paper provided by HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 07/06.

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Date of creation: Jun 2007
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Handle: RePEc:yor:hectdg:07/06

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Related research
Keywords: smoking; mortality; duration analysis; unobservable heterogeneity; latent factors;

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Find related papers by JEL classification:
I1 - Health, Education, and Welfare - - Health
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis

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  1. Mroz, Thomas A., 1999. "Discrete factor approximations in simultaneous equation models: Estimating the impact of a dummy endogenous variable on a continuous outcome," Journal of Econometrics, Elsevier, vol. 92(2), pages 233-274, October. [Downloadable!] (restricted)
  2. Silvia Balia & AM. Jones, 2004. "Mortality, Lifestyle and Socio-Economic Status," Working Paper CRENoS 200416, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia. [Downloadable!]
    Other versions:
  3. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March. [Downloadable!] (restricted)
  4. Martin Forster & Andrew M. Jones, 2001. "The role of tobacco taxes in starting and quitting smoking: Duration analysis of British data," Journal Of The Royal Statistical Society Series A, Royal Statistical Society, vol. 164(3), pages 517-547. [Downloadable!] (restricted)
    Other versions:
  5. Michelle M. Mello & Sally C. Stearns & Edward C. Norton, 2002. "Do Medicare HMOs still reduce health services use after controlling for selection bias?," Health Economics, John Wiley & Sons, Ltd., vol. 11(4), pages 323-340. [Downloadable!]
  6. Valerie Lechene & Jerome Adda, 2004. "On the Identification of the Effect of Smoking on Mortality," Economics Series Working Papers 184, University of Oxford, Department of Economics. [Downloadable!]
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  7. Dana P. Goldman, 1995. "Managed Care as a Public Cost-Containment Mechanism," RAND Journal of Economics, The RAND Corporation, vol. 26(2), pages 277-295, Summer. [Downloadable!] (restricted)
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  10. Valerie Lechene & Jéróme Adda, 2001. "Smoking and Endogenous Mortality: Does Heterogeneity in Life Expectancy Explain Differences in Smoking Behavior?," Economics Series Working Papers 077, University of Oxford, Department of Economics. [Downloadable!]
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  13. Gabriel A. Picone & Frank A. Sloan & Shin-Yi Chou & Donald H. Taylor, 2003. "Does Higher Hospital Cost Imply Higher Quality of Care?," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 51-62, 09. [Downloadable!] (restricted)
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