Data · dataset · 2011
Replication data for: The Unholy Trinity: Immigration, Unemployment and Extremism in Europe, 1980-2002
Listed in Harvard Dataverse
In this paper we focus on the ways in which immigration and unemployment interact and affect the probability of voting for an extreme right (ER) party in Europe.
Description
We begin by replicating the results from “Contextual Factors and the Extreme Right Vote in Western Europe, 1980-2002” by Arzheimer (2009), which finds that immigration (measured by the number of asylum seekers) and unemployment have positive marginal effects and, counterintuitively, a negative interaction effect.
We challenge Arzheimer’s (2009) employment of asylum seekers as a proxy for immigration and instead suggest two alternate, more direct measures: net migration and percent of foreign population. Using these new measures, we find a positive interaction effect between immigration and unemployment.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.7910%2FDVN%2FNCKJRN ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.7910/dvn/nckjrn ↗
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/NCKJRN | 13 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 |