Candidate vote prediction in open-list systems: Forecasting the results of the 2023 Finnish parliamentary election.
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| Title: | Candidate vote prediction in open-list systems: Forecasting the results of the 2023 Finnish parliamentary election. |
|---|---|
| Authors: | Vepsäläinen, Tapio1 (AUTHOR) Tapio.a.vepsalainen@utu.fi |
| Source: | International Journal of Forecasting. Jul2026, Vol. 42 Issue 3, p954-970. 17p. |
| Database: | Business Source Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 193617757 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=193617757 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.ijforecast.2025.12.008 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 954 Titles: – TitleFull: Candidate vote prediction in open-list systems: Forecasting the results of the 2023 Finnish parliamentary election. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Vepsäläinen, Tapio IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 01692070 Numbering: – Type: volume Value: 42 – Type: issue Value: 3 Titles: – TitleFull: International Journal of Forecasting Type: main |
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