Title:
Household Income and Chronic Disease Diagnoses: A County Level Analysis

dc.contributor.author Somaka, Srija
dc.contributor.corporatename Georgia Institute of Technology. School of Economics en_US
dc.date.accessioned 2021-12-20T17:40:25Z
dc.date.available 2021-12-20T17:40:25Z
dc.date.issued 2021-12
dc.description.abstract Increasing chronic disease burden is one of the most pressing problems the United States faces today despite maintaining the highest levels of health expenditure globally. This paper attempts to discern the relationship between county level diabetes diagnosis rates and median household income using regression analysis. A variety of other social determinants of health are considered in this study in order to account for factors that can impact chronic disease outcomes: density of Doctors of Medicine, insurance coverage, age, education levels, poverty levels, unemployment rates, and metropolitan classifications. Ultimately a negative association between income levels and diabetes diagnoses was found; as the median household income of a county increased, the percentage of the population diagnosed with diabetes decreased. en_US
dc.identifier.uri http://hdl.handle.net/1853/65544
dc.publisher Georgia Institute of Technology en_US
dc.subject Econometric analysis en_US
dc.subject Health expenditures en_US
dc.title Household Income and Chronic Disease Diagnoses: A County Level Analysis en_US
dc.type Text
dc.type.genre Undergraduate Research Paper
dspace.entity.type Publication
local.contributor.corporatename School of Economics
local.contributor.corporatename Ivan Allen College of Liberal Arts
local.relation.ispartofseries Economics: Econometric Analysis
relation.isOrgUnitOfPublication 15802d30-e8cc-4b9a-86ef-2a59ac816e4b
relation.isOrgUnitOfPublication b1049ff1-5166-442c-9e14-ad804b064e38
relation.isSeriesOfPublication a1e053fe-46aa-43fe-9e97-b4d0f80e8676
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