IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp4336.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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 of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp4336
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp4336.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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, January.
    3. 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.
    4. Poutvaara, Panu & Siemers, Lars-H. R., 2008. "Smoking and social interaction," Journal of Health Economics, Elsevier, vol. 27(6), pages 1503-1515, December.
    5. 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.
    6. 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.
    7. 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.
    8. Timothy J. Halliday, 2008. "Heterogeneity, state dependence and health," Econometrics Journal, Royal Economic Society, vol. 11(3), pages 499-516, November.
    9. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    10. Chaloupka, Frank, 1991. "Rational Addictive Behavior and Cigarette Smoking," Journal of Political Economy, University of Chicago Press, vol. 99(4), pages 722-742, August.
    11. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    19. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Jones, A. M. & Laporte, A. & Rice, N. & Zucchelli, E., 2014. "A synthesis of the Grossman and Becker-Murphy models of health and addiction: theoretical and empirical implications," Health, Econometrics and Data Group (HEDG) Working Papers 14/07, HEDG, c/o Department of Economics, University of York.
    3. Andrew M. Jones & Audrey Laporte & Nigel Rice & Eugenio Zucchelli, 2019. "Dynamic panel data estimation of an integrated Grossman and Becker–Murphy model of health and addiction," Empirical Economics, Springer, vol. 56(2), pages 703-733, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christelis, Dimitris & Sanz-de-Galdeano, Anna, 2011. "Smoking persistence across countries: A panel data analysis," Journal of Health Economics, Elsevier, vol. 30(5), pages 1077-1093.
    2. Dimitris Christelis & Anna Sanz-de-Galdeano, 2009. "Smoking Persistence in Europe: A Semi-Parametric Panel Data Analysis with Selectivity," Working Papers 403, Barcelona School of Economics.
    3. Leonardo Fabio Morales & Penny Gordon-Larsen & David Guilkey, 2014. "Obesity and Health-Related Decisions: An Empirical Model of the Determinants of Weight Status," Borradores de Economia 12171, Banco de la Republica.
    4. Morales, Leonardo Fabio & Gordon-Larsen, Penny & Guilkey, David, 2016. "Obesity and health-related decisions: An empirical model of the determinants of weight status across the transition from adolescence to young adulthood," Economics & Human Biology, Elsevier, vol. 23(C), pages 46-62.
    5. Miura, Takahiro, 2019. "Does time preference affect smoking behavior? A dynamic panel analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 78(C), pages 170-180.
    6. Leonardo Fabio Morales & Penny Gordon-Larsen & David Guilkey, 2014. "Obesity and Health-Related Decisions: An Empirical Model of the Determinants of Weight Status," Borradores de Economia 846, Banco de la Republica de Colombia.
    7. Francesco Bartolucci & Claudia Pigini, 2017. "Granger causality in dynamic binary short panel data models," Working Papers 421, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    8. Sergi Jiménez-Martín & José M. Labeaga & Majid al Sadoon, 2020. "Consistent estimation of panel data sample selection models," Working Papers 2020-06, FEDEA.
    9. Silvia Balia, 2014. "Survival expectations, subjective health and smoking: evidence from SHARE," Empirical Economics, Springer, vol. 47(2), pages 753-780, September.
    10. Ian Crawford, 2007. "A nonparametric analysis of habits models," CeMMAP working papers CWP30/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Giulia Bettin & Riccardo Lucchetti & Claudia Pigini, 2016. "State dependence and unobserved heterogeneity in a double hurdle model for remittances: evidence from immigrants to Germany," Mo.Fi.R. Working Papers 127, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    12. Dimitris Christelis & Raquel Fonseca, 2015. "Labor Market Policies and Self-Employment Transitions of Older Workers," Cahiers de recherche 1516, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques.
    13. Christelis, Dimitris & Dobrescu, Loretti I. & Motta, Alberto, 2020. "Early life conditions and financial risk-taking in older age," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    14. Hernández-Quevedo, Cristina & Jones, Andrew M. & Rice, Nigel, 2008. "Persistence in health limitations: A European comparative analysis," Journal of Health Economics, Elsevier, vol. 27(6), pages 1472-1488, December.
    15. Ha Trong Nguyen & Luke B. Connelly, 2017. "The Dynamics of Informal Care Provision in an Australian Household Panel Survey: Previous Work Characteristics and Future Care Provision," The Economic Record, The Economic Society of Australia, vol. 93(302), pages 395-419, September.
    16. Peter Haan, 2005. "State Dependence and Female Labor Supply in Germany: The Extensive and the Intensive Margin," Discussion Papers of DIW Berlin 538, DIW Berlin, German Institute for Economic Research.
    17. Bettin, Giulia & Lucchetti, Riccardo & Pigini, Claudia, 2018. "A dynamic double hurdle model for remittances: evidence from Germany," Economic Modelling, Elsevier, vol. 73(C), pages 365-377.
    18. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).
    19. Man Jin & Shunan Zhao & Subal C. Kumbhakar, 2020. "Information asymmetry and leverage adjustments: a semiparametric varying‐coefficient approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 581-605, February.
    20. Peter Arcidiacono, Holger Sieg, Frank Sloan, 2001. "Living Rationally Under the Volcano? Heavy Drinking and Smoking Among the Elderly," Computing in Economics and Finance 2001 207, Society for Computational Economics.

    More about this item

    Keywords

    smoking; selectivity; panel data;
    All these keywords.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp4336. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.