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Exploring Predictors of Life Satisfaction among Native-born Adults in Sweden
Umeå University, Faculty of Social Sciences, Department of Geography and Economic History, Economic and social geography.
2016 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Based on the data from Round 6 of the European Social Survey (ESS), this research study investigates what factors determine life satisfaction in Sweden. Specifically, this paper provides a new look at both the effect of household income on life satisfaction and how personal feelings about household income and the degree of social inclusion mediate the effect of income on life satisfaction. These effects are estimated by the ordinary least squares (OLS) regression models with robust standard error estimates. The results indicate that individual perception of income is more important for life satisfaction than the total amount of revenue. Moreover, the presence of close people to talk to is an essential predictor of subjective well-being. Persons with a high number of people with whom they can discuss intimate and personal matters were found to have a significantly higher life satisfaction than respondents with poor social contacts or no close contacts at all. Overall, the household income effect disappears once the analysis is controlled for these two personalised indicators. In this case, regional differences in well-being in Sweden at NUTS 2 level also vanish. Those findings suggest that Swedish regions provide equally high living standards for all citizens.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Life Satisfaction, Subjective Well-Being (SWB), Household Income, European Social Survey
National Category
Human Geography
Identifiers
URN: urn:nbn:se:umu:diva-122434OAI: oai:DiVA.org:umu-122434DiVA: diva2:942904
Educational program
Master's Program in Spatial Planning and Development
Available from: 2016-06-27 Created: 2016-06-17 Last updated: 2016-06-27Bibliographically approved

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