Participation in universal prevention programmes

Robert Rosenman, Scott Goates and Laura Hill

Applied Economics, 2012, vol. 44, issue 2, 219-228

Abstract: We analyse family decisions to participate in community-based universal substance-abuse prevention programmes through the framework of expected utility theory. Family functioning, which has been shown to be a good indicator of child risk for substance abuse, provides a useful reference point for family decision making. Our results show that well-functioning families (with children at low risk for substance use) should have the lowest incentive to participate, but that high-risk families may also opt out of prevention programmes. For programmes that are most effective for high-risk youth, this could be a problem. Using data from the Strengthening Families Programme (SFP) and the Washington Healthy Youth Survey (HYS), we empirically test the implications of our model and find that at least for one measure of family functioning those families with children most likely to be at risk for substance use are opting out of the programme.

Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2010.502111 (text/html)
Access to full text is restricted to subscribers.

Related works:
Journal Article: Participation in universal prevention programmes (2012)
Working Paper: Participation in Universal Prevention Programs (2009)
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:applec:v:44:y:2012:i:2:p:219-228

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036846.2010.502111

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().