Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Krause says having religious friends leads to gratitude, which is associated with better health

Work by Bailey and Dynarski on growing income gap in graduation rates cited in NYT

Johnston says marijuana use by college students highest in 30 years

Highlights

Martha Bailey and Nicolas Duquette win Cole Prize for article on War on Poverty

Michigan's graduate sociology program tied for 4th with Stanford in USN&WR rankings

Jeff Morenoff makes Reuters' Highly Cited Researchers list for 2014

Susan Murphy named Distinguished University Professor

Next Brown Bag

Monday, Sep 22
Paula Fomby (Michigan), Family Complexity, Siblings, and Children's Aggressive Behavior at School Entry

Investigating the Relationship between Neighborhood Poverty and Mortality Risk: A Marginal Structural Modeling Approach

Publication Abstract

Download PDF versionDo, D. Phuong, Lu Wang, and Michael R. Elliott. 2012. "Investigating the Relationship between Neighborhood Poverty and Mortality Risk: A Marginal Structural Modeling Approach." PSC Research Report No. 12-763. June 2012.

Extant observational studies generally support the existence of a link between neighborhood context and health. However, estimating the causal impact of neighborhood-effects from observational data has proven to be a challenge. Omission of relevant factors may lead to overestimating the effects of neighborhoods on health while inclusion of time-varying confounders that may also be mediators (e.g., income, labor force status) may lead to underestimation. Using longitudinal data from the 1990-2007 Panel Study of Income Dynamics, this study investigates the link between neighborhood poverty and overall mortality risk. A marginal structural modeling strategy is employed to appropriately adjust for simultaneous mediating and confounding factors. To address the issue of possible upward bias from the omission of key variables, sensitivity analysis to assess the robustness of results against unobserved confounding is conducted. Compared to conventional naïve estimates, which did not reveal a link between neighborhood poverty and mortality risk, the marginal structural model estimates indicated a statistically significant increase in mortality risk with increasing neighborhood poverty. Sensitivity analysis indicated that estimates were moderately robust to omitted variable bias.

Browse | Search : All Pubs | Next