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Participation in universal prevention programmes

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  • Robert Rosenman
  • Scott Goates
  • Laura Hill

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.

Suggested Citation

  • Robert Rosenman & Scott Goates & Laura Hill, 2012. "Participation in universal prevention programmes," Applied Economics, Taylor & Francis Journals, vol. 44(2), pages 219-228, January.
  • Handle: RePEc:taf:applec:v:44:y:2012:i:2:p:219-228
    DOI: 10.1080/00036846.2010.502111
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    References listed on IDEAS

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    3. Hill, L.G. & Goates, S.G. & Rosenman, R., 2010. "Detecting selection effects in community implementations of family-based substance abuse prevention programs," American Journal of Public Health, American Public Health Association, vol. 100(4), pages 623-630.
    4. Ambrose Leung, 2004. "Delinquency, schooling, and work: time allocation decision of youth," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 987-993.
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    6. Robert J. Brent, 1998. "Estimating the effectiveness and benefits of alcohol treatment programmes for use in economic evaluations," Applied Economics, Taylor & Francis Journals, vol. 30(2), pages 217-226, February.
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    Cited by:

    1. Erard Brian, 2022. "Modeling Qualitative Outcomes by Supplementing Participant Data with General Population Data: A New and More Versatile Approach," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 35-53, January.
    2. Erard, Brian, 2017. "Modeling Qualitative Outcomes by Supplementing Participant Data with General Population Data: A Calibrated Qualitative Response Estimation Approach," MPRA Paper 79927, University Library of Munich, Germany.
    3. Nkegbe, Paul Kwame & Abdul Mumin, Yazeed, 2022. "Impact of community development initiatives and access to community markets on household food security and nutrition in Ghana," Food Policy, Elsevier, vol. 113(C).

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