Data · dataset · 2007
Replication data for: Habitual Voting and Behavioral Turnout
Listed in Harvard Dataverse
Bendor, Diermeier, and Ting (2003) develop a behavioral alternative to rational choice models of turnout.
Description
However, the assumption they make about the way individuals adjust their probability of voting biases their model towards their main result of significant turnout in large populations. Moreover, the assumption causes individuals to engage in casual voting (sometimes people vote and sometimes they abstain).
This result is at odds with a substantial literature that indicates most people engage in habitual voting (they either always vote or always abstain). I develop an alternative model to show how feedback in the probability adjustment mechanism affects the behavioral model. The version of this model without feedback yields both high turnout and habitual voting.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.7910%2FDVN%2FUMIPVS ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.7910/dvn/umipvs ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.7910%2FDVN%2… ↗
metadata API · from Harvard Dataverse
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.7910/DVN/UMIPVS | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| version_label | source · Harvard Dataverse | connector:dataverse@1.0.0 |