IDEAS home Printed from https://ideas.repec.org/p/ven/wpaper/2010_15.html

Smoking persistence in Europe: A semi-parametric panel data analysis with selectivity

Author

Listed:
  • Dimitris Christelis

    (Department of Economics, University Of Venice C� Foscari)

  • Anna Sanz-de-Galdeano

    (Department of Economics and Economic History, Universitat Aut�noma de Barcelona)

Abstract

We study smoking persistence, which can be due to both true state dependence and individual unobserved heterogeneity, in ten European countries. We distinguish between the two sources of persistence by using semi-parametric dynamic panel selection methods, applied to both smoking participation and cigarette consumption. We find that for both smoking decisions true state dependence is generally much smaller when unobserved individual heterogeneity is taken into account, and we also uncover large differences in true state dependence across countries. Finally, allowing for heaping in the reported number of cigarettes smoked considerably improves the fit of our model.

Suggested Citation

  • Dimitris Christelis & Anna Sanz-de-Galdeano, 2010. "Smoking persistence in Europe: A semi-parametric panel data analysis with selectivity," Working Papers 2010_15, Department of Economics, University of Venice "Ca' Foscari".
  • Handle: RePEc:ven:wpaper:2010_15
    as

    Download full text from publisher

    File URL: https://www.unive.it/web/fileadmin/user_upload/dipartimenti/DEC/doc/Pubblicazioni_scientifiche/working_papers/2010/WP_DSE_Christelis_Sanzdegaldean_15_10.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. 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.
    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.
    4. 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

    ;
    ;
    ;
    ;

    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:ven:wpaper:2010_15. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sassano Sonia (email available below). General contact details of provider: https://edirc.repec.org/data/dsvenit.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.