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Gender Differences in Smoking Behaviour

Author

Listed:
  • Bauer, Thomas
  • Göhlmann, Silja
  • Sinning, Mathias

Abstract

This paper investigates gender differences in smoking behaviour using data from the German Socio-economic Panel (SOEP). We develop a Blinder-Oaxaca decomposition method for count data models which allows to isolate the part of the gender differential in the number of cigarettes daily smoked that can be explained by differences in observable characteristics from the part attributable to differences in coefficients. Our results reveal that the major part of the gender smoking differential is attributable to differences in coefficients indicating substantial differences in the smoking behaviour between men and women rather than differences in characteristics.

Suggested Citation

  • Bauer, Thomas & Göhlmann, Silja & Sinning, Mathias, 2006. "Gender Differences in Smoking Behaviour," CEPR Discussion Papers 5848, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:5848
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    References listed on IDEAS

    as
    1. John P. Haisken-DeNew, 2005. "SOEPMENU: A Menu-Driven Stata/SE Interface for Accessing the German Socio-Economic Panel," German Stata Users' Group Meetings 2005 04, Stata Users Group.
    2. Robert W. Fairlie, 2003. "An Extension of the Blinder-Oaxaca Decomposition Technique to Logit and Probit Models," Working Papers 873, Economic Growth Center, Yale University.
    3. Hersch, Joni, 2000. "Gender, Income Levels, and the Demand for Cigarettes," Journal of Risk and Uncertainty, Springer, vol. 21(2-3), pages 263-282, November.
    4. Even, William E. & Macpherson, David A., 1990. "Plant size and the decline of unionism," Economics Letters, Elsevier, vol. 32(4), pages 393-398, April.
    5. Gary S. Becker & Casey B. Mulligan, 1997. "The Endogenous Determination of Time Preference," The Quarterly Journal of Economics, Oxford University Press, vol. 112(3), pages 729-758.
    6. Thomas Bauer & Mathias Sinning, 2010. "Blinder-Oaxaca decomposition for Tobit models," Applied Economics, Taylor & Francis Journals, vol. 42(12), pages 1569-1575.
    7. Fairlie, Robert W, 1999. "The Absence of the African-American Owned Business: An Analysis of the Dynamics of Self-Employment," Journal of Labor Economics, University of Chicago Press, vol. 17(1), pages 80-108, January.
    8. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    9. repec:aph:ajpbhl:2002:92:6:1002-1006_5 is not listed on IDEAS
    10. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    11. Jonathan Gruber & Jonathan Zinman, 2000. "Youth Smoking in the U.S.: Evidence and Implications," NBER Working Papers 7780, National Bureau of Economic Research, Inc.
    12. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    13. Ronald L. Oaxaca & Michael R. Ransom, 1999. "Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 154-157, February.
    14. Steven Yen, 2005. "Zero observations and gender differences in cigarette consumption," Applied Economics, Taylor & Francis Journals, vol. 37(16), pages 1839-1849.
    15. Waldron, Ingrid, 1991. "Patterns and causes of gender differences in smoking," Social Science & Medicine, Elsevier, vol. 32(9), pages 989-1005, January.
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    More about this item

    Keywords

    Blinder-Oaxaca decomposition; count data models; gender differences; smoking; SOEP;

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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