Simulation modeling and tobacco control: Creating more robust public health policies

D.T. Levy, J.E. Bauer and H.-R. Lee

American Journal of Public Health, 2006, vol. 96, issue 3, 494-498

Abstract: Although previous empirical studies have shown that tobacco control policies are effective at reducing smoking rates, such studies have proven of limited effectiveness in distinguishing how the effect of policies depend on the other policies in place, the length of adjustment period, the way the policy is implemented, and the demographic groups considered. An alternative and complementary approach to purely statistical equations is simulation models. We describe the SimSmoke simulation model and how we used it to assess tobacco control policy in a specific case study. Simulation models are not only useful for policy prediction and planning but also may help to broaden our understanding of the role of different public health policies within a complex, dynamic social system.

Date: 2006
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://hdl.handle.net/10.2105/AJPH.2005.063974

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:aph:ajpbhl:10.2105/ajph.2005.063974_8

DOI: 10.2105/AJPH.2005.063974

Access Statistics for this article

American Journal of Public Health is currently edited by Alfredo Morabia

More articles in American Journal of Public Health from American Public Health Association
Bibliographic data for series maintained by Christopher F Baum ().