Title:
Factors that Influence Income Inequality Across the Globe
Factors that Influence Income Inequality Across the Globe
dc.contributor.author | Francis, Emma | |
dc.contributor.author | Gaysowski, Stephanie | |
dc.contributor.author | Moen, Nathan | |
dc.contributor.corporatename | Georgia Institute of Technology. School of Economics | en_US |
dc.date.accessioned | 2018-11-19T20:32:45Z | |
dc.date.available | 2018-11-19T20:32:45Z | |
dc.date.issued | 2018-11 | |
dc.description.abstract | This paper initially sought to analyze the relationship between income inequality, as measured by the Gini coefficient, and the multidimensional poverty index, which measures the levels of deprivation related to health, education, and living standards within a developing nation. However, in the pursuit identifying the factors that affect income inequality, we discovered that other population demographics such as life expectancy and median age are more accurate predictors of levels of income inequality across the globe. | en_US |
dc.identifier.uri | http://hdl.handle.net/1853/60542 | |
dc.publisher | Georgia Institute of Technology | en_US |
dc.subject | Econometric analysis | en_US |
dc.subject | Income inequality | en_US |
dc.title | Factors that Influence Income Inequality Across the Globe | 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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