Google trends and election predictions as political risk mitigation tools: an analysis of US senate elections

Pasquali, Stefano (A.A. 2021/2022) Google trends and election predictions as political risk mitigation tools: an analysis of US senate elections. Tesi di Laurea in Political risk analysis, Luiss Guido Carli, relatore Andrea Salvi, pp. 168. [Master's Degree Thesis]

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Abstract/Index

The importance of politics and elections for corporations: an overview of lobbying and election contributions in the United States. The U.S. political system. Maintaining relationships with both sides of the aisle: evidences from the historical turnover of majority and minority parties. Individual congresspeople and party lines. An overview of electoral campaign contributions. Google trends as an election prediction tool. The analysis of US Senate elections. US Senate elections, 2004–2020. Toss-up races and third-party candidates. Analyzing the elections incorrectly predicted. Limits of Google trends: the case of 2020 US presidential elections. Predicting the upcoming Senate elections. An overview of 2022 US Senate elections. Predicting the 2022 US Senate elections: sample and time period. Predicting the 2022 US Senate elections.

References

Bibliografia e sitografia: pp. 151-156.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree program in Global Management and Politics, English language (LM-77)
Chair: Political risk analysis
Thesis Supervisor: Salvi, Andrea
Thesis Co-Supervisor: Galietti, Francesco
Academic Year: 2021/2022
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 28 Nov 2022 12:07
Last Modified: 28 Nov 2022 12:07
URI: https://tesi.luiss.it/id/eprint/34116

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