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In Vino Pecunia?: The Association between Beverage-Specific Drinking Behavior and Wages

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  • Nicolas R. Ziebarth
  • Markus M. Grabka

Abstract

The positive association between moderate alcohol consumption and wages is well documented in the economic literature. Positive health effects as well as networking mechanisms serve as explanations for the "alcohol-income puzzle". Using individual-based microdata from the GSOEP for 2006, we confirm that this relationship exists for Germany as well. More importantly, we shed light on the alcohol-income puzzle by analyzing, for the first time, the association between beverage-specific drinking behavior and wages. In our analysis, we disentangle the general wage effect of drinking into diverse effects for different types of drinkers. Mincerian estimates reveal significant and positive relationships between wine drinkers and wages as well as between beverage-unspecific drinkers and wages. We are unable to detect endogeneity problems with the drinking variables, which speaks in favor of OLS regressions. When splitting the sample into age groups, the "wine gain" disappears for employees under the age of 35 and increases in size and significance for higher age groups. We also find a "beer gain" for residents of rural areas and a "cocktail gain" for residents of urban areas. Several explanations for our empirical results are discussed in view of the likelihood that the alcohol-income puzzle is a multicausal phenomenon.

Suggested Citation

  • Nicolas R. Ziebarth & Markus M. Grabka, 2008. "In Vino Pecunia?: The Association between Beverage-Specific Drinking Behavior and Wages," SOEPpapers on Multidisciplinary Panel Data Research 93, DIW Berlin, The German Socio-Economic Panel (SOEP).
  • Handle: RePEc:diw:diwsop:diw_sp93
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    Cited by:

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    3. Eibich, Peter & Ziebarth, Nicolas R., 2014. "Analyzing regional variation in health care utilization using (rich) household microdata," Health Policy, Elsevier, vol. 114(1), pages 41-53.
    4. Eibich, Peter & Ziebarth, Nicolas, 2014. "Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 49, pages 305-320.
    5. Hiroyuki Motegi & Yoshinori Nishimura & Kazuyuki Terada, 2016. "Does Retirement Change Lifestyle Habits?," The Japanese Economic Review, Japanese Economic Association, vol. 67(2), pages 169-191, June.
    6. Kesavayuth, Dusanee & Poyago-Theotoky, Joanna & Tran, Dai Binh & Zikos, Vasileios, 2020. "Locus of control, health and healthcare utilization," Economic Modelling, Elsevier, vol. 86(C), pages 227-238.
    7. Martina Celidoni & Chiara Dal Bianco & Vincenzo Rebba & Guglielmo Weber, 2020. "Retirement and Healthy Eating," Fiscal Studies, John Wiley & Sons, vol. 41(1), pages 199-219, March.
    8. Marco Caliendo & Juliane Hennecke, 2022. "Drinking is different! Examining the role of locus of control for alcohol consumption," Empirical Economics, Springer, vol. 63(5), pages 2785-2815, November.
    9. Peter Eibich, 2014. "Understanding the Effect of Retirement on Health Using Regression Discontinuity Design," SOEPpapers on Multidisciplinary Panel Data Research 669, DIW Berlin, The German Socio-Economic Panel (SOEP).
    10. Eibich, Peter, 2015. "Understanding the effect of retirement on health: Mechanisms and heterogeneity," Journal of Health Economics, Elsevier, vol. 43(C), pages 1-12.
    11. Arni, Patrick & Dragone, Davide & Goette, Lorenz & Ziebarth, Nicolas R., 2021. "Biased health perceptions and risky health behaviors—Theory and evidence," Journal of Health Economics, Elsevier, vol. 76(C).
    12. Jan Marcus, 2014. "Does Job Loss Make You Smoke and Gain Weight?," Economica, London School of Economics and Political Science, vol. 81(324), pages 626-648, October.
    13. Wang, Jianxin & Huang, Cailing & Xu, Lin & Zhang, Junhuan, 2023. "Drinking into friends: Alcohol drinking culture and CEO social connections," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 982-995.
    14. Patrick Keller, 2016. "Alcohol: Does It Make You Successful? A Longitudinal Analysis," SOEPpapers on Multidisciplinary Panel Data Research 830, DIW Berlin, The German Socio-Economic Panel (SOEP).
    15. Martina Celidoni & Vincenzo Rebba, 2017. "Healthier lifestyles after retirement in Europe? Evidence from SHARE," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(7), pages 805-830, September.
    16. Au, Pak Hung & Lim, Wooyoung & Zhang, Jipeng, 2022. "In vino veritas? Communication under the influence—An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 325-340.
    17. Justus Haucap & Annika Herr, 2014. "A note on social drinking: In Vino Veritas," European Journal of Law and Economics, Springer, vol. 37(3), pages 381-392, June.
    18. Haucap, Justus & Herr, Annika & Frank, Björn, 2011. "In vino veritas: Theory and evidence on social drinking," DICE Discussion Papers 37, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    19. Maryam Dilmaghani, 2022. "The link between smoking, drinking and wages: Health, workplace social capital or discrimination?," Industrial Relations Journal, Wiley Blackwell, vol. 53(2), pages 160-183, March.
    20. Au, Pak Hung & Zhang, Jipeng, 2016. "Deal or no deal? The effect of alcohol drinking on bargaining," Journal of Economic Behavior & Organization, Elsevier, vol. 127(C), pages 70-86.
    21. Vasilios Kosteas, 2012. "The Effect of Exercise on Earnings: Evidence from the NLSY," Journal of Labor Research, Springer, vol. 33(2), pages 225-250, June.
    22. Peter Eibich & Nicolas R. Ziebarth, 2013. "Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models," SOEPpapers on Multidisciplinary Panel Data Research 620, DIW Berlin, The German Socio-Economic Panel (SOEP).

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    More about this item

    Keywords

    alcohol-income puzzle; beverage-specific drinking behavior; wages; wine;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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