Assessing the Accuracy of Google Trends for Predicting Presidential Elections: The Case of Chile, 2006–2021

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Date

2022-10-27

Document type

journal article

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Investigación
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Authors

Vergara-Perucich, Francisco

Publisher

MDPI AG

URI

https://repositorio.udla.cl/handle/udla/1222

DOI

https://doi.org/10.3390/data7110143

Keywords

ARIMA, elections, time series, forecasting, Chile

Citation

Data, 7(11), 143. https://doi.org/10.3390/data7110143

Abstract

This article presents the results of reviewing the predictive capacity of Google Trends for national elections in Chile. The electoral results of the elections between Michelle Bachelet and Sebastián ...

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Creative Commons Attribution 4.0 International
Except where otherwised noted, this item's license is described as Creative Commons Attribution 4.0 International
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