Consumer behaviour in lottery: the double hurdle approach and zeros in gambling survey data
Brad Humphreys,
Yang Seung Lee and
Brian Soebbing
International Gambling Studies, 2010, vol. 10, issue 2, 165-176
Abstract:
Governments world-wide increasingly rely on gambling revenues, increasing the importance of understanding who gambles and why. Previous literature used Tobit and Heckman models to statistically analyse participation in gambling. These models make strong assumptions about the nature of gambling participation. We examine the double hurdle model as an alternative to other statistical approaches to modelling gambling participation and spending for lotteries in the province of Alberta, Canada. Our results for lotteries, based on data from a 2002 survey of gambling prevalence in Alberta, clearly prefer the double hurdle model, which yields different results than the commonly used Tobit model. This has important implications for governments who rely on revenues from lottery to fund many different programs in their jurisdictions.
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)
Downloads: (external link)
http://hdl.handle.net/10.1080/14459795.2010.502180 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:intgms:v:10:y:2010:i:2:p:165-176
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RIGS20
DOI: 10.1080/14459795.2010.502180
Access Statistics for this article
International Gambling Studies is currently edited by Katie Donnelly, David Marshall, Bronwyn Stuart, Alex Blaszczynski and Jan McMillen
More articles in International Gambling Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().