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
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An: 193617757
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PubType: Academic Journal
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  Data: Candidate vote prediction in open-list systems: Forecasting the results of the 2023 Finnish parliamentary election.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=193617757
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.ijforecast.2025.12.008
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 17
        StartPage: 954
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      – TitleFull: Candidate vote prediction in open-list systems: Forecasting the results of the 2023 Finnish parliamentary election.
        Type: main
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            NameFull: Vepsäläinen, Tapio
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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              Value: 42
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            – TitleFull: International Journal of Forecasting
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