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

PSC In The News

RSS Feed icon

Starr's findings account for some of the 19% black-white gap in federal sentencing

Frey says suburbs are aging, cities draw millennials

Pfeffer comments on Fed report that reveals 20-year decline in net worth among American families

More News

Highlights

U-M's campus climate survey results discussed in CHE story

U-M honors James Jackson's groundbreaking work on how race impacts the health of black Americans

U-M is the only public and non-coastal university on Forbes' top-10 list for billionaire production

ASA President Bonilla-Silva takes exception with Chief Justice Roberts' 'gobbledygook' jab

More Highlights

Next Brown Bag

Mon, Jan 22, 2018, noon: Narayan Sastry

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. 6 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