mdh.sePublications
Change search
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
The Impact of Immigration on Income Inequality: Evidence from Sweden and the United States
Mälardalen University, School of Business, Society and Engineering.
Mälardalen University, School of Business, Society and Engineering.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This paper studies data from a 25-year period in the history of Sweden and the US, ranging from 1993 to 2017. The aim of the thesis was to investigate the impact of immigration on the income inequality of the respective countries while also considering the impact of other specific variables. In order to estimate the impact of the variables, both static and dynamic models were used, with the Gini coefficient being the dependent variable. With the ordinary least square giving short-run estimates and the error correction model providing short- and long- run estimates simultaneously, the main variable for immigration, being the foreign-born population, showed a strong positive relationship with income inequality. For the estimation, the immigration variable was also split into high- and low-skilled immigrants as well as different age groups. In conclusion, we find that immigration in Sweden and the US has high levels of influence on the income inequality for both countries.

Place, publisher, year, edition, pages
2019. , p. 50
Keywords [en]
Immigration, Income inequality, Gini Coefficient, Foreign-born population
National Category
Economics
Identifiers
URN: urn:nbn:se:mdh:diva-44069OAI: oai:DiVA.org:mdh-44069DiVA, id: diva2:1324566
Subject / course
Economics
Supervisors
Examiners
Available from: 2019-06-14 Created: 2019-06-13 Last updated: 2019-06-14Bibliographically approved

Open Access in DiVA

fulltext(1963 kB)59 downloads
File information
File name FULLTEXT01.pdfFile size 1963 kBChecksum SHA-512
d55e7368e5c514cb2998d316515f2047ad074e7ba43ca96b03b3cd1df39d237848827aa71a5e192b6494431f576ba7d1cfb76a3e15d6b93f51316a861ff091c9
Type fulltextMimetype application/pdf

By organisation
School of Business, Society and Engineering
Economics

Search outside of DiVA

GoogleGoogle Scholar
Total: 59 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 149 hits
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