Change search
ReferencesLink to record
Permanent link

Direct link
The determinants of voter turnout in OECD: An aggregated cross-national study using panel data
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This paper examines in a descriptive manner how two groups of variables, institutional and socio-economic, correlate with voter turnout respectively and if their magnitude have changed over time in OECD countries. Previous research is often based on data from the 70’s and 80’s. Since then, voter turnout in democratic countries has decreased and more citizens do not use their fundamental democratic right of being involved in the process of choosing their representatives. To answer the paper hypotheses i.e. analyzing what factors that correlates with voter turnout, panel data between 1980 and 2012 are used which is estimated by an OLS approach. The outcome of the empirical estimations indicates that 13 out of 19 variables have a significant relationship with turnout. Most of the variables magnitudes are a bit lower than previous literature. From the time sensitivity analysis the result indicates that voters are less influenced by the significant variables that focus on the voting cost. It seems that voters in the 21st century meet voting costs in different manner than previously.

Place, publisher, year, edition, pages
2016. , 45 p.
Keyword [en]
Voter turnout, Institutional variables, socio-economic variables, aggregated level, time sensitivity analysis, OECD
National Category
Probability Theory and Statistics
URN: urn:nbn:se:uu:diva-295468OAI: diva2:933793
Subject / course
Educational program
Freestanding course
2016-05-31, B105, Ekonomikum, Uppsala, 14:30 (Swedish)
Available from: 2016-06-27 Created: 2016-06-07 Last updated: 2016-06-27Bibliographically approved

Open Access in DiVA

fulltext(829 kB)7 downloads
File information
File name FULLTEXT01.pdfFile size 829 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Olsén Ingefeldt, Niclas
By organisation
Department of Statistics
Probability Theory and Statistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 7 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

Total: 16 hits
ReferencesLink to record
Permanent link

Direct link