Journal article
A Political-History Forecast Model of Congressional Elections: Lessons Learned from Campaign 2022
Polity, Vol.55(3), pp.604-609
07/2023
DOI: 10.1086/725252
Abstract
no abstract
Details
- Title: Subtitle
- A Political-History Forecast Model of Congressional Elections: Lessons Learned from Campaign 2022
- Creators
- Stephen Quinlan - GESIS - Leibniz-Institute for the Social SciencesMichael S. Lewis-Beck - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Polity, Vol.55(3), pp.604-609
- DOI
- 10.1086/725252
- ISSN
- 0032-3497
- eISSN
- 1744-1684
- Language
- English
- Electronic publication date
- 05/23/2023
- Date published
- 07/2023
- Academic Unit
- Political Science
- Record Identifier
- 9984419355102771
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