Full Citation

Title: Deaths Without Denominators: Using A Matched Dataset to Study Mortality

Citation Type: Dissertation/Thesis

Publication Year: 2018

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Abstract: To understand national trends in mortality over time, it is important to study differences by demographic, socioeconomic and geographic characteristics. For example, the recent stagnation in life expectancy at birth in the United States is largely a consequence of worsening outcomes for males in young-adult age groups (Kochanek et al. [2017]). It is essential to understand differences across groups to better inform and target effective health policies. As such, studying mortality disparities across key subpopulations has become an important area of research. Recent studies in the United States have looked at mortality inequalities across income (Chetty et al. [2016]; Currie and Schwandt [2016]), education (Hummer and Lariscy [2011]; Masters et al. [2012]; Hummer and Hernandez [2013]) and race (Murray et al. [2006]; Case and Deaton [2017]), finding evidence for increasing disparities across all groups.

Url: https://www.monicaalexander.com/pdf/bayesian_censoc.pdf

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Authors: Alexander, Monica

Institution: University of California Berkeley

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Degree: PhD

Publisher Location: Berkeley, California, US

Pages: 42

Data Collections: IPUMS USA

Topics: Fertility and Mortality, Health

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