This paper establishes a model to forecast the Presidential election outcomes, particularly the 2016 United States Presidential Election by analyzing two distinctive approaches: predicting election wins through voting function, and using approval ratings as proxy for votes. I examine and replicate previous models for vote share of the Democratic Party and of the government for elections from 1948 to 2012. Then, I construct a model for approval ratings based on economic and non-economic variables. My findings have direct implications for forecasting elections and the political business cycle.
| Identifer | oai:union.ndltd.org:CLAREMONT/oai:scholarship.claremont.edu:cmc_theses-2276 |
| Date | 01 January 2016 |
| Creators | Lin, Amanda |
| Publisher | Scholarship @ Claremont |
| Source Sets | Claremont Colleges |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | CMC Senior Theses |
| Rights | © 2015 Amanda T Lin |
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