uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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
Individual Responds to Automation Effect: Evidence from Sweden
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Economics.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis assesses the impact of automation on graduating from a field of study and employment in the labor market, using field exposure to automation patent and automation patent as proxies for technological innovation. It uses a panel data set and time series data set, specifying a fixed effect, random, pooled OLS and OLS econometric model to estimate the relationship. It evaluates whether automation patents affect individuals graduating from a particular field faced with automation in the labor market. This thesis shows that with the panel estimation, there is a negative effect of automation exposure on graduating from a field of study as well as automation patent decreasing employment share in an industry. With regards to OLS results, it shows mild positive relation between specific graduation froma field and its exposure to automation, but negatively robust to cross effect of automation patent on other field of study as well as ambiguity in the labor market. This thesis does not make causal claims but tries to see whether the data follow theory as well as empirical evidence and suggests that more empirical data need to be drawn to bridge the gap between theory and empirical evidence.

Place, publisher, year, edition, pages
2019. , p. 34
National Category
Economics
Identifiers
URN: urn:nbn:se:uu:diva-390365OAI: oai:DiVA.org:uu-390365DiVA, id: diva2:1341536
Subject / course
Economics
Educational program
Master Programme in Economics
Supervisors
Available from: 2019-08-09 Created: 2019-08-09 Last updated: 2019-08-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

By organisation
Department of Economics
Economics

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 41 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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