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Frey's Scenario F simulation mentioned in account of the Democratic Party's tribulations

U-M Poverty Solutions funds nine projects

Dynarski says NY's Excelsior Scholarship Program could crowd out low-income and minority students

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Workshops on EndNote, NIH reporting, and publication altmetrics, Jan 26 through Feb 7, ISR

2017 PAA Annual Meeting, April 27-29, Chicago

NIH funding opportunity: Etiology of Health Disparities and Health Advantages among Immigrant Populations (R01 and R21), open Jan 2017

Russell Sage 2017 Summer Institute in Computational Social Science, June 18-July 1. Application deadline Feb 17.

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Next Brown Bag

Mon, Jan 23, 2017 at noon:
Decline of cash assistance and child well-being, Luke Shaefer

Pregnant woman in political t-shirt

Health inequality and American politics

1/6/2014 feature story

Arline Geronimus, John Bound, and Javier Rodriguez investigate trends in infant, neonatal, and post-neonatal mortality rates under Republican and Democratic administrations.

More Information.

John Bound
Arline T. Geronimus
Javier Rodriguez

Project Information:

The Political Origins of Health Inequality: Political Parties and Infant Mortality

The proposed research project focuses on developing an understanding of the mechanisms by which political actors and institutions affect inequalities in health. Results from our own research show that, relative to trend, national and race-specific infant, neonatal, and postneonatal mortality rates decrease under Democratic administrations and increase under Republican administrations (1965-2010). The purpose of the proposed research is to further investigate these trends. We plan to assemble a comprehensive set of state and county level data on overall and race specific infant-related mortality rates, macro-social determinants of health, and the party composition of state and local governments in place during the post ?political realignment? period (1960-2012). Such detailed data would permit us to identify enough exogenous, natural variation across levels of analysis and time for causal inference. Our methodological approach is a combination of time series, hierarchical modeling approaches applied to natural experiment scenarios. The proposed project will outline the foundations of an important yet overlooked research agenda: The connections between large historical health inequalities on the basis of race and socioeconomic standing and politics specific variables.

Arline T. Geronimus, John Bound, Javier Rodriguez

Feature Archive.