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Miech on 'generational forgetting' about drug-use dangers

Impacts of H-1B visas: Lower prices and higher production - or lower wages and higher profits?

MTF data show 10% of 19-20 year-olds report bouts of drinking 10-plus alcoholic beverages

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Highlights

Call for papers: Conference on computational social science, April 2017, U-M

Sioban Harlow honored with 2017 Sarah Goddard Power Award for commitment to women's health

Post-doc fellowship in computational social science for summer or fall 2017, U-Penn

ICPSR Summer Program scholarships to support training in statistics, quantitative methods, research design, and data analysis

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Next Brown Bag

Mon, Feb 13, 2017, noon:
Daniel Almirall, "Getting SMART about adaptive interventions"

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.