Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Politics &amp Policyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Politics &amp Policy
Article . 2016 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
versions View all 1 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Is the Turnout Function in Democracies and Nondemocracies Alike or Different?

Authors: Daniel Stockemer;

Is the Turnout Function in Democracies and Nondemocracies Alike or Different?

Abstract

Are the turnout functions in democracies and nondemocracies different beasts that cannot be compared or are there more similarities than differences in the constituents of electoral turnout in the two universes of cases? Interested in this question, I compare electoral turnout in democracies and nondemocracies. Based on a large‐scale dataset, which includes data for over 540 elections over an 18‐year period (1994–2012), I find distinct patterns in the predictors of turnout across the two regime types. One the one hand, my results indicate that the influence of institutions such as compulsory voting or electoral rules is alike in democracies and nondemocracies. However, the same cannot be said for contextual factors such as corruption or electoral closeness, whose influence fundamentally differs in the two settings.Related Articles Kostadinova, Tatiana. 2009. “.” Politics & Policy 37 (): 691‐714. http://onlinelibrary.wiley.com/doi/10.1111/j.1747-1346.2009.00194.x/abstract Stockemer, Daniel, and Stephanie Parent. 2014. “.” Politics & Policy 42 (): 221‐245. http://onlinelibrary.wiley.com/doi/10.1111/polp.12067/abstract Caillier, James. 2010. “.” Politics & Policy 38 (): 1015‐1035. http://onlinelibrary.wiley.com/doi/10.1111/j.1747-1346.2010.00267.x/abstract Related Media . 2016. http://www.idea.int/vt/viewdata.cfm Schmitter, Philippe C., and Terry Lynn Karl. 1991. Short excerpt from “What Democracy Is… and Is Not.” Journal of Democracy (Summer). http://www.bu.edu/washington/files/2015/01/Schmitter-and-Lynn-What-Democracy-Is-and-Is-Not.pdf

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!