ICAR Research Data Repository for Knowledge Management
Replication Data for: Forecasting Dutch Elections. An Initial Model from the March 2017 Legislative Contests. Research & Politics.
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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| Title |
Replication Data for: Forecasting Dutch Elections. An Initial Model from the March 2017 Legislative Contests. Research & Politics.
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| Identifier |
https://doi.org/10.7910/DVN/6CMCBR
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| Creator |
Dassonneville, Ruth
Lewis-Beck, Michael S. Mongrain, P. |
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| Publisher |
Harvard Dataverse
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| Description |
Abstract Serious election forecasting has become a routine activity in most Western democracies, with various methodologies employed, e.g., polls, models, prediction markets, citizen forecasting. In the Netherlands, however, election forecasting has limited itself to the use of polls, mainly because other approaches are viewed as too complicated, given the great fragmentation of the Dutch party system. Here we challenge this view, offering the first structural forecasting model of legislative elections there. We find that a straightforward Political Economy equation managed an accurate forecast of the 2017 contest, clearly besting the efforts of the pollsters. |
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| Subject |
Social Sciences
Election forecasting The Netherlands Structural model |
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| Contributor |
Dassonneville, Ruth
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