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Gasoline Prices and Presidential Approval Ratings of the United States.

We use random forests, a machine-learning technique, to formally examine the link between real gasoline prices and presidential approval ratings of the United States (US). Random forests make it possible to study this link in a completely data-driven way, such that nonlinearities in the data can eas...

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Publicado en:American Politics Research Vol. 53; no. 5; pp. 469 - 481
Autores principales: Gupta, Rangan, Pierdzioch, Christian, Tiwari, Aviral Kumar
Formato: Artículo
Publicado: Sage Publications Inc. Sep2025
Materias:
Public opinion
Gas prices
Random forest algorithms
Machine learning
Value (Economics)
Acceso en línea:Ver este registro en EBSCOhost