EconPapers    
Economics at your fingertips  
 

Power of personalized smoking cessation: A quantitative lifecycle framework for policy evaluation

Li‐Shiun Chen, Ping Wang and Yao Yao

Quantitative Economics, 2025, vol. 16, issue 2, 749-793

Abstract: Evidence suggests that smokers' responsiveness to cessation medication depends on genotypes. Whether personalized treatment based on genotypes is cost effective compared to standard treatments, however, has been unexplored. We thus construct a lifecycle model with endogenous health evolution and life expectancy and with heterogeneities in genotypes, demographics, and adolescent smoking. We examine the cost effectiveness of three intervention policies: (i) a standard policy where all smokers receive counseling and medication, (ii) a standard policy where some smokers receive counseling and others receive counseling and medication, and (iii) a personalized policy based on genotypes. The personalized policy proves the most cost effective: every dollar of program cost generates about $29 and $40 in value measured over the lifecycle for smokers treated at age 37 and 52, respectively, about 16–22% higher than the two standard policies.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.3982/QE1412

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:wly:quante:v:16:y:2025:i:2:p:749-793

Ordering information: This journal article can be ordered from
https://www.econometricsociety.org/membership

Access Statistics for this article

More articles in Quantitative Economics from Econometric Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-07-07
Handle: RePEc:wly:quante:v:16:y:2025:i:2:p:749-793