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Survival expectations, subjective health and smoking: evidence from European countries

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  • S. Balia

Abstract

This work aims to assess risk perception of smokers in reporting survival expectations and subjective health. In particular, the analysis investigates individuals’ perception of smoking effects in the short and long-term and whether they believe that such detrimental effects can be reversed. Data from the Survey of Health, Ageing and Retirement in Europe, which contain a numerical measure of subjective survival probability, are used to estimate a simultaneous recursive system of equations for survival expectation, subjective health and smoking. Endogeneity and unobservable heterogeneity are addressed using a finite mixture model. This approach identifies two types of individuals that differ in level of optimism, risk perception and rationality in addiction. One important result is that for both types past smokers perceive smoking consequences as reversible, with some difference between the short and long-term. We also find evidence of differences among current and past smokers in the way they evaluate the opportunity cost of tobacco consumption.

Suggested Citation

  • S. Balia, 2011. "Survival expectations, subjective health and smoking: evidence from European countries," Health, Econometrics and Data Group (HEDG) Working Papers 11/30, HEDG, c/o Department of Economics, University of York.
  • Handle: RePEc:yor:hectdg:11/30
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    Cited by:

    1. Joan Costa-Font & Cristina Vilaplana-Prieto, 2022. "Biased survival expectations and behaviours: Does domain specific information matter?," Journal of Risk and Uncertainty, Springer, vol. 65(3), pages 285-317, December.
    2. Luca Stella, 2014. "Living Arrangements in Europe: Whether and Why Paternal Retirement Matters," "Marco Fanno" Working Papers 0177, Dipartimento di Scienze Economiche "Marco Fanno".

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    More about this item

    Keywords

    survival expectations; subjective health; risk; smoking; EM algorithm;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • C0 - Mathematical and Quantitative Methods - - General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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