735
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Millennials and the alcohol industry: expenditure variations among generations

Pages 1277-1282 | Published online: 16 Aug 2020
 

ABSTRACT

This paper explores the relationship age cohorts, or generations, have had with regards to alcohol expenditure over time. Articles from popular publications claim Millennials are ‘killing’ the alcohol industry due to their lack of consumption, but provide little empirical analysis of any academic rigour to make such claims. These claims do matter, as they have implications for the alcohol industry itself as well as investors and policymakers. This paper uses four cross-sectional decadal datasets spanning from 1986 to 2016 from the Bureau of Labour Statistics Consumer Expenditure Interview Survey (CEX) to determine the validity of these claims, while controlling for factors such as income, expenditures, and demographics. The question being explored is, ceteris paribus, does the Millennial generational expenditure on alcohol differ from previous generations? Left-censored Tobit I models indicate that Millennials spend more on alcohol than previous generations, contradicting the claims of these articles. Following the regression analysis is a discussion of the results and their implications.

JEL CLASSIFICATION:

Disclosure statement

No potential conflict of interest was reported by the author.

Notes

1 Data is publicly available at https://www.bls.gov/cex/pumd_data.htm

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 205.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.