Title:
Factors Explaining Life Satisfaction Across Countries

dc.contributor.author Denes, Julien
dc.contributor.author Koh, Jong Rak
dc.contributor.author Lee, Tim
dc.contributor.corporatename Georgia Institute of Technology. School of Economics en_US
dc.date.accessioned 2017-04-10T16:44:40Z
dc.date.available 2017-04-10T16:44:40Z
dc.date.issued 2017-04
dc.description.abstract The factors explaining the happiness level at large scale are still unclear and debated. In this paper, we discuss a potential causal relationship between wealth and life satisfaction at the national level. Using the Gallup Global Well-Being Poll data on self-reported life satisfaction and the World Bank database, we study the extent to which wealth, measured by GDP per capita, influences the average level of happiness in 146 countries. In our first model, the simple regression highlights a significant relationship between GDP per capita and self-reported index for happiness. Second, we try to challenge the causal relationship by assessing whether GDP per capita would not actually be a proxy for other factors. However, our results show that GDP per capita remains a significant determinant of happiness when controlling for natural risks, education (measured by the literacy rate), and access to health care (measured by life expectancy), all of which are statistically significant in explaining the level of well-being. en_US
dc.identifier.uri http://hdl.handle.net/1853/56624
dc.publisher Georgia Institute of Technology en_US
dc.subject Econometric analysis en_US
dc.subject Life satisfaction en_US
dc.title Factors Explaining Life Satisfaction Across Countries 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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