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An estimation of cohort effects in addictive goods consumption

Author

Listed:
  • Gergenreter, Anastasia

    (HSE University, Moscow, Russian Federation)

  • Kossova, Elena

    (HSE University, Moscow, Russian Federation)

  • Potanin, Bogdan

    (HSE University, Moscow, Russian Federation)

Abstract

The research focuses on the investigation of birth cohort effects in post-month consumption of alcohol, cigarettes and marijuana. The authors utilize hierarchical and non-hierarchical multivariate probit models to examine the relationship between the consumption of addictive goods taking into account the endogeneity of subjective health evaluation. Based on the US National Survey on Drug Use and Health from 2002 to 2020 data the study provides evidence of significant age and gender differences in alcohol, cigarettes and marijuana consumption According to the findings, the consumption of each of the substances in question increases the propensity to use other addictive goods, and it differs significantly across birth cohorts and men and women. The correlation between alcohol, cigarettes and marijuana consumption increases from older to younger cohorts. There is also evidence of a closing gender gap in addictive substances consumption, particularly concerning the younger cohorts.

Suggested Citation

  • Gergenreter, Anastasia & Kossova, Elena & Potanin, Bogdan, 2024. "An estimation of cohort effects in addictive goods consumption," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 76, pages 96-119.
    • Handle: RePEc:ris:apltrx:0511
    as

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    References listed on IDEAS

    as
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    More about this item

    Keywords

    addictive goods; alcohol; cigarettes; marijuana; health; cohort effects; multivariate probit;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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