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Smoking Persistence Across Countries: An Analysis Using Semi-Parametric Dynamic Panel Data Models with Selectivity

Author

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  • Christelis, Dimitris

    () (University of Naples Federico II)

  • Sanz-de-Galdeano, Anna

    () (Universidad de Alicante)

Abstract

We study smoking persistence in ten countries using data from the European Community Household Panel. Such persistence may be due to true state dependence but may also reflect individual unobserved heterogeneity. We distinguish between the two by using semi-parametric dynamic panel data methods applied to both the decision to smoke or not and to the decision on the number of cigarettes smoked. Our model allows for correlation of the two time-varying error terms, i.e. for selectivity. We find that for both smoking decisions true state dependence is in general much smaller when unobserved individual heterogeneity is taken into account, and we also uncover large differences in true state dependence across countries. Finally, we find that taking into account heaping in the reported number of cigarettes smoked considerably improves the fit of our model.

Suggested Citation

  • Christelis, Dimitris & Sanz-de-Galdeano, Anna, 2009. "Smoking Persistence Across Countries: An Analysis Using Semi-Parametric Dynamic Panel Data Models with Selectivity," IZA Discussion Papers 4336, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp4336
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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.
    2. 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.
    3. Pierre‐Carl Michaud & Konstantinos Tatsiramos, 2011. "Fertility and female employment dynamics in Europe: the effect of using alternative econometric modeling assumptions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(4), pages 641-668, June.
    4. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54.
    5. Donna B. Gilleskie & Koleman S. Strumpf, 2005. "The Behavioral Dynamics of Youth Smoking," Journal of Human Resources, University of Wisconsin Press, vol. 40(4), pages 822-866.
    6. Chaloupka, Frank, 1991. "Rational Addictive Behavior and Cigarette Smoking," Journal of Political Economy, University of Chicago Press, vol. 99(4), pages 722-742, August.
    7. Raquel Carrasco & José M. Labeaga & J. David López-Salido, 2005. "Consumption and Habits: Evidence from Panel Data," Economic Journal, Royal Economic Society, vol. 115(500), pages 144-165, January.
    8. Poutvaara, Panu & Siemers, Lars-H. R., 2008. "Smoking and social interaction," Journal of Health Economics, Elsevier, vol. 27(6), pages 1503-1515, December.
    9. Anastasia Semykina & Jeffrey M. Wooldridge, 2013. "Estimation of dynamic panel data models with sample selection," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(1), pages 47-61, January.
    10. M. Dolores Collado & Martin Browning, 2007. "Habits and heterogeneity in demands: a panel data analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 625-640.
    11. Mark Coppejans & Donna Gilleskie & Holger Sieg & Koleman Strumpf, 2007. "Consumer Demand under Price Uncertainty: Empirical Evidence from the Market for Cigarettes," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 510-521, August.
    12. Timothy J. Halliday, 2008. "Heterogeneity, state dependence and health," Econometrics Journal, Royal Economic Society, vol. 11(3), pages 499-516, November.
    13. David M. Cutler & Edward L. Glaeser, 2009. "Why Do Europeans Smoke More than Americans?," NBER Chapters,in: Developments in the Economics of Aging, pages 255-282 National Bureau of Economic Research, Inc.
    14. Labeaga, Jose M., 1999. "A double-hurdle rational addiction model with heterogeneity: Estimating the demand for tobacco," Journal of Econometrics, Elsevier, vol. 93(1), pages 49-72, November.
    15. Harris, Mark N. & Zhao, Xueyan, 2007. "A zero-inflated ordered probit model, with an application to modelling tobacco consumption," Journal of Econometrics, Elsevier, vol. 141(2), pages 1073-1099, December.
    16. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, October.
    17. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    18. Becker, Gary S & Murphy, Kevin M, 1988. "A Theory of Rational Addiction," Journal of Political Economy, University of Chicago Press, vol. 96(4), pages 675-700, August.
    19. Donna B. Gilleskie & Koleman S. Strumpf, 2000. "The Behavioral Dynamics of Youth Smoking," NBER Working Papers 7838, National Bureau of Economic Research, Inc.
    20. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," Review of Economic Studies, Oxford University Press, vol. 47(1), pages 225-238.
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    Cited by:

    1. Maria L. Loureiro & Anna Sanz-de-Galdeano & Daniela Vuri, 2010. "Smoking Habits: Like Father, Like Son, Like Mother, Like Daughter?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 717-743, December.
    2. Andrew Jones & Audrey Laporte & Nigel Rice & Eugenio Zucchelli, 2014. "A Synthesis of the Grossman and Becker-Murphy Models of Health and Addiction: Theoretical and Empirical Implications," Working Papers 140007, Canadian Centre for Health Economics.

    More about this item

    Keywords

    smoking; selectivity; panel data;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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