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March 24, 2026Health Economics2 citationsOpen Access

Further Findings on the Intergenerational Transmission of Alcohol Consumption

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SASergey AlexeevUniversity of Technology Sydney

Key Points

  • This research aims to explore how alcohol consumption behaviors are passed from parents to children across generations.
  • Analyzed data from 43,817 parent-child pairs in 23 waves of the HILDA Survey
  • Measured transmission elasticities for mother-daughter and father-son relationships
  • Compared findings with non-birth (adoptee-style) dyads
  • Addressed identification concerns using placebo reshuffling and copula-based corrections
  • Transmission elasticity for mother-daughter pairs is 0.10, and for father-son pairs is 0.09
  • Influence peaks at ages 15-17 and re-emerges at 28-37
  • Men who are childless are more likely to reflect maternal drinking habits
  • Findings suggest that parental norms significantly influence behaviors during critical life stages

Abstract

Using 43,817 parent-child pairs from 23 waves of the HILDA Survey, I study the intergenerational transmission of alcohol use within a rational model of trait transmission. Transmission is predominantly same-sex: the mother-daughter elasticity is 0.10 and the father-son elasticity is 0.09; there is no father-daughter effect. Influence peaks at ages 15-17 and re-emerges at 28-37 when offspring become parents; mothers also affect sons at both junctures. Comparisons with non-birth (adoptee-style) dyads show similar mother-daughter transmission, indicating norm-based rather than biological channels. Identification concerns are addressed with placebo reshuffling and copula-based corrections; estimates are robust across specifications. Men who remain childless are more likely to mirror maternal drinking, which-together with declining fertility and earlier alcohol-control policies-helps explain cohort declines in male drinking. The interpretation is that parental norms anchor behavior at identity-forming and role-transition ages, with strong persistence thereafter. Policy should target these windows with gender-specific, couple-level interventions alongside population levers on price, availability and marketing.

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Cite This Study

Sergey Alexeev (2026) studied this question.

synapsesocial.com/papers/69c2294caeb5a845df0d380dhttps://doi.org/10.1002/hec.70084
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