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Part 1: Document Description
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Citation |
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Title: |
Forecasting Popular Vote and Electoral College Vote Results: Partisan-Bounded Economic Model |
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Identification Number: |
doi:10.7910/DVN/MSDZ7G |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2025-03-28 |
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Version: |
1 |
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Bibliographic Citation: |
Saeki, Manabu, 2025, "Forecasting Popular Vote and Electoral College Vote Results: Partisan-Bounded Economic Model", https://doi.org/10.7910/DVN/MSDZ7G, Harvard Dataverse, V1 |
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Citation |
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Title: |
Forecasting Popular Vote and Electoral College Vote Results: Partisan-Bounded Economic Model |
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Identification Number: |
doi:10.7910/DVN/MSDZ7G |
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Authoring Entity: |
Saeki, Manabu |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Saeki, Manabu |
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Depositor: |
Saeki, Manabu |
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Date of Deposit: |
2025-03-15 |
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Holdings Information: |
https://doi.org/10.7910/DVN/MSDZ7G |
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Study Scope |
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Keywords: |
Social Sciences |
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Abstract: |
The Partisan-Bounded Economic Model forecasts popular vote and Electoral College vote results in the 2024 presidential election based on economic growth, presidential popularity, and shifts in party identification within the electorate. Due to the partisan vote and voter inertia, presidential elections are unlikely to result in lopsided outcomes even in the face of economic turmoil or prosperity. In the Partisan-Bounded Economic Model, outliers in the annualized GDP growth are adjusted to fall within a fixed range of 5 percent to -5 percent. Any GDP growth values exceeding 5 percent or falling below -5 percent are re-coded as 5 percent and -5 percent, respectively. The model predicts that Vice President Kamala Harris will secure 52.3 percent of the party vote, 49.4 percent of the total popular vote, and 59.1 percent of the Electoral College votes. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Label: |
ch6 popvote.wf1 |
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Notes: |
application/octet-stream |
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Label: |
ch6 popvote.~f1 |
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Notes: |
application/octet-stream |
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Label: |
Forecast Equation 2025-2.xlsx |
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Text: |
Data with variables |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |