204
Views
7
CrossRef citations to date
0
Altmetric
Original Articles

“Tell me what you play and I will tell you who you are”: values and gambling habits in two Danish universities

&
Pages 67-78 | Published online: 20 Mar 2009
 

Abstract

This article describes different gambling patterns found among students at a business school and at a faculty of social sciences in Copenhagen, Denmark. On the one hand, it was found that students who play games of skill (such as poker or betting on football or horses, etc.) tended to be male, studying business, investing in stock options and voting on the right of the political spectrum. On the other hand, students who played games of chance (lotto, bingo, etc.) were more likely to be female, studying social sciences, preferring savings rather than risky investments and voting on the left of the political spectrum. We suggest that the competitive aspect of games of skill is attractive to those who believe in rewarding individual risk in a competitive market, while the more egalitarian and impersonal nature of games of chances is preferred by people who place a stronger emphasis on social equity.

Acknowledgements

The data on which this article is based were collected by Astrid Marie Eliasson, Camilla El-Sayed, Camilla Sigvardt, Helle Boje, Line Richter, Lise Ryborg, Louise Vang Jensen, Morten Aarslev, Nikolaj Darre and Tabita Klenz. We would like to thank them for giving us permission to publish their results.

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 343.00 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.