Journal article
Using Marginal Structural Modeling to Estimate the Cumulative Impact of an Unconditional Tax Credit on Self-Rated Health
F Pega, T Blakely, MM Glymour, KN Carter, I Kawachi
American Journal of Epidemiology | Published : 2016
DOI: 10.1093/aje/kwv211
Abstract
In previous studies, researchers estimated short-term relationships between financial credits and health outcomes using conventional regression analyses, but they did not account for time-varying confounders affected by prior treatment (CAPTs) or the credits' cumulative impacts over time. In this study, we examined the association between total number of years of receiving New Zealand's Family Tax Credit (FTC) and self-rated health (SRH) in 6,900 working-age parents using 7 waves of New Zealand longitudinal data (2002-2009). We conducted conventional linear regression analyses, both unadjusted and adjusted for time-invariant and time-varying confounders measured at baseline, and fitted margi..
View full abstractGrants
Awarded by Health Research Council of New Zealand through the Burden of Disease Epidemiology, Equity and Cost-Effectiveness Program
Awarded by Health Inequalities Research Program
Awarded by Fulbright New Zealand through a Fulbright-Ministry of Science and Innovation Graduate Award
Funding Acknowledgements
This work was supported by the Health Research Council of New Zealand through the Burden of Disease Epidemiology, Equity and Cost-Effectiveness Program (grant 10/248) and the Health Inequalities Research Program (grant 08/048); the University of Otago through a Doctoral Scholarship, an Elman Poole Travelling Scholarship, and a Health Sciences Career Development Programme Postdoctoral Fellowship awarded to F.P.; the Harvard School of Public Health through a Visiting Scientist Fellowship awarded to F.P.; and Fulbright New Zealand through a Fulbright-Ministry of Science and Innovation Graduate Award to F.P. (grant 15120390).