IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v219y2022ics0165176522002865.html
   My bibliography  Save this article

Alcohol consumption and income: Evidence from one-sample and two-sample Mendelian randomizations

Author

Listed:
  • Wang, Xiaolu
  • Chen, Qihui
  • Zhao, Qiran
  • Zhu, Chen

Abstract

Alcohol consumption has been linked to a number of adverse health outcomes, but the relationships between alcohol use and economic outcomes remain mixed. In this study, we investigate the causal impact of alcohol consumption on income by using genetic instruments of ALDH2 rs671 and ADH1B rs1229984 in the Mendelian randomization (MR) framework. Although OLS results show a positive link between alcohol use and income, one-sample MR estimates based on a sample of 645 individuals recently collected from rural China indicate that drinking is causally associated with a 15.8% reduction in income, and the adverse impact is heterogeneous across the income distribution. Results from two-sample MR lend further support to the main findings. Our results can provide a more comprehensive picture of the economic cost of alcohol use.

Suggested Citation

  • Wang, Xiaolu & Chen, Qihui & Zhao, Qiran & Zhu, Chen, 2022. "Alcohol consumption and income: Evidence from one-sample and two-sample Mendelian randomizations," Economics Letters, Elsevier, vol. 219(C).
    • Handle: RePEc:eee:ecolet:v:219:y:2022:i:c:s0165176522002865
    DOI: 10.1016/j.econlet.2022.110788
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176522002865
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2022.110788?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mullahy, John & Sindelar, Jody, 1996. "Employment, unemployment, and problem drinking," Journal of Health Economics, Elsevier, vol. 15(4), pages 409-434, August.
    2. Michael T. French & Ioana Popovici, 2011. "That instrument is lousy! In search of agreement when using instrumental variables estimation in substance use research," Health Economics, John Wiley & Sons, Ltd., vol. 20(2), pages 127-146, February.
    3. Petri Böckerman & Ari Hyytinen & Terhi Maczulskij, 2017. "Alcohol Consumption and Long‐Term Labor Market Outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 275-291, March.
    4. Rashad, Inas & Kaestner, Robert, 2004. "Teenage sex, drugs and alcohol use: problems identifying the cause of risky behaviors," Journal of Health Economics, Elsevier, vol. 23(3), pages 493-503, May.
    5. Chernozhukov, Victor & Hansen, Christian, 2008. "Instrumental variable quantile regression: A robust inference approach," Journal of Econometrics, Elsevier, vol. 142(1), pages 379-398, January.
    Full references (including those not matched with items on IDEAS)

    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. Chatterji, Pinka & Alegria, Margarita & Takeuchi, David, 2011. "Psychiatric disorders and labor market outcomes: Evidence from the National Comorbidity Survey-Replication," Journal of Health Economics, Elsevier, vol. 30(5), pages 858-868.
    2. John Cawley & Euna Han & Edward C. Norton, 2011. "The validity of genes related to neurotransmitters as instrumental variables," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 884-888, August.
    3. Lindo, Jason M. & Swensen, Isaac D. & Waddell, Glen R., 2013. "Alcohol and student performance: Estimating the effect of legal access," Journal of Health Economics, Elsevier, vol. 32(1), pages 22-32.
    4. 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.
    5. Maclean, Johanna Catherine & French, Michael T., 2014. "Personality disorders, alcohol use, and alcohol misuse," Social Science & Medicine, Elsevier, vol. 120(C), pages 286-300.
    6. Ioana Popovici & Michael T. French, 2013. "Does Unemployment Lead to Greater Alcohol Consumption?," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 52(2), pages 444-466, April.
    7. Pinka Chatterji & Margarita Alegría & Mingshan Lu & David Takeuchi, 2007. "Psychiatric disorders and labor market outcomes: evidence from the National Latino and Asian American Study," Health Economics, John Wiley & Sons, Ltd., vol. 16(10), pages 1069-1090.
    8. Marlon P. Mundt & Michael T. French, 2013. "Adolescent alcohol use, sociability and income as a young adult," Applied Economics, Taylor & Francis Journals, vol. 45(23), pages 3329-3339, August.
    9. Michael T. French & Ioana Popovici, 2011. "That instrument is lousy! In search of agreement when using instrumental variables estimation in substance use research," Health Economics, John Wiley & Sons, Ltd., vol. 20(2), pages 127-146, February.
    10. Deborah A. Cobb-Clark & Chris Ryan & Ana Sartbayeva, 2009. "Taking Chances: The Effect of Growing Up on Welfare on the Risky Behaviour of Young People," CEPR Discussion Papers 604, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    11. Alexandre Belloni & Victor Chernozhukov & Kengo Kato, 2019. "Valid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 749-758, April.
    12. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    13. Tapio Paljärvi & Pekka Martikainen & Taina Leinonen & Tiina Pensola & Pia Mäkelä, 2014. "Non-Employment Histories of Middle-Aged Men and Women Who Died from Alcohol-Related Causes: A Longitudinal Retrospective Study," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-9, May.
    14. Tekin, Erdal, 2002. "Employment, Wages, and Alcohol Consumption in Russia: Evidence from Panel Data," IZA Discussion Papers 432, Institute of Labor Economics (IZA).
    15. Vijetha Koppa, 2018. "The Effect of Alcohol Access on Sexually Transmitted Diseases: Evidence From the Minimum Legal Drinking Age," American Journal of Health Economics, MIT Press, vol. 4(2), pages 164-184, Spring.
    16. Klomp, Jeroen, 2013. "Government interventions and default risk: Does one size fit all?," Journal of Financial Stability, Elsevier, vol. 9(4), pages 641-653.
    17. Ceren Ertan Yörük & Barış Yörük, 2015. "Alcohol consumption and risky sexual behavior among young adults: evidence from minimum legal drinking age laws," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(1), pages 133-157, January.
    18. D. Mark Anderson & Benjamin Hansen & Daniel I. Rees, 2015. "Medical Marijuana Laws and Teen Marijuana Use," American Law and Economics Review, Oxford University Press, vol. 17(2), pages 495-528.
    19. Kaplan, David M. & Sun, Yixiao, 2017. "Smoothed Estimating Equations For Instrumental Variables Quantile Regression," Econometric Theory, Cambridge University Press, vol. 33(1), pages 105-157, February.
    20. Jubril Animashaun & Ada Wossink, 2020. "Patriarchy, Pandemics and the Gendered Resource Curse Thesis: Evidence from Petroleum Geology," Economics Discussion Paper Series 2006, Economics, The University of Manchester.

    More about this item

    Keywords

    Alcohol consumption; Income; Mendelian Randomization; Genetic instruments; China;
    All these keywords.

    JEL classification:

    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General

    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:eee:ecolet:v:219:y:2022:i:c:s0165176522002865. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.