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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
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    References listed on IDEAS

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    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.
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    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

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