Gender differences in smoking behavior
AbstractThis paper investigates gender differences in smoking behavior 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 behavior between men and women. Copyright © 2007 John Wiley & Sons, Ltd.
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Bibliographic InfoArticle provided by John Wiley & Sons, Ltd. in its journal Health Economics.
Volume (Year): 16 (2007)
Issue (Month): 9 ()
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Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749
Other versions of this item:
- Thomas Bauer & Silja Göhlmann & Mathias Sinning, 2006. "Gender Differences in Smoking Behavior," Health, Econometrics and Data Group (HEDG) Working Papers, HEDG, c/o Department of Economics, University of York 06/07, HEDG, c/o Department of Economics, University of York.
- Bauer, Thomas K. & Göhlmann, Silja & Sinning, Mathias, 2006. "Gender Differences in Smoking Behavior," IZA Discussion Papers 2259, Institute for the Study of Labor (IZA).
- Bauer, Thomas & Göhlmann, Silja & Sinning, Mathias, 2006. "Gender Differences in Smoking Behaviour," CEPR Discussion Papers, C.E.P.R. Discussion Papers 5848, C.E.P.R. Discussion Papers.
- Mathias Sinning & Silja Göhlmann & Thomas Bauer, 2006. "Gender Differences in Smoking Behavior," RWI Discussion Papers, Rheinisch-WestfÃ¤lisches Institut fÃ¼r Wirtschaftsforschung 0044, Rheinisch-Westfälisches Institut für Wirtschaftsforschung.
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- I12 - Health, Education, and Welfare - - Health - - - Health Production
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