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An explanation to earned income disparities
Linnaeus University, School of Business and Economics, Department of Economics and Statistics.
Linnaeus University, School of Business and Economics, Department of Economics and Statistics.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The earned income differ across municipalities in Sweden, where Stockholm is the location with the highest average earned income. One can ask whether this is depending on higher educational attainment, the disparity in population size and house prices. This paper aims to explain which parameter affects the income disparities between large and small cites. Using data from Statistics Sweden between the years 1991-2017. The above-mentioned topics are used in the three statistical models; Ordinary Least Squares, Pooled OLS, and Fixed-Effects. From this analyze, this paper can conclude that human capital is essential to explain earned income disparities. The discussion part includes limitations of the dataset and its consequences depending on geographical choice. Another exciting explanation of earned income differences is mentioned in the discussion, namely happiness level in each region. 

Place, publisher, year, edition, pages
2019. , p. 37
Keywords [en]
Earned Income, Municipality, Education, Population Size, House Price, Income Difference
National Category
Economics
Identifiers
URN: urn:nbn:se:lnu:diva-85599OAI: oai:DiVA.org:lnu-85599DiVA, id: diva2:1327021
Subject / course
Economics
Educational program
The Economics Programme, 180 credits
Supervisors
Examiners
Available from: 2019-06-20 Created: 2019-06-18 Last updated: 2019-06-20Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf