Data · dataset · 2010
Replication data for: Ecological Inference and Entropy-Maximizing: An Alternative Estimation Procedure for Split-Ticket Voting
Listed in Harvard Dataverse
Publication of King’s A Solution to the Ecological Inference Problem has rekindled interest in the estimation of unknown cell values in two- and three-dimensional matrices from knowledge of the marginal sums.
Description
This paper outlines an entropy-maximizing (EM) procedure which employs more constraints than King’s EI method and produces mathematical rather than statistical procedures: the estimates are maximum-likelihood values.
The mathematics are outlined, and the procedure’s use illustrated with a study of ticket-splitting at New Zealand’s first (1996) general election using the mixed-member proportional representation system, for which official figures provide a check against the EM estimate of the number voting a straight party ticket in each constituency.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.7910%2FDVN%2FP9S62I ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.7910/dvn/p9s62i ↗
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
Topics
- Inferred from text
- Computational ecology and phylogenetics 81%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.7910/DVN/P9S62I | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:310203 | enrichment · Harvard Dataverse | taxonomy-embedding@1.1.0 | title+keywords+description (81%) |
| 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 |