Graduation Year

2016

Date of Submission

11-2015

Document Type

Open Access Senior Thesis

Degree Name

Bachelor of Arts

Department

Economics

Reader 1

Manfred Keil

Rights Information

© 2015 Amanda T Lin

Abstract

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.

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Econometrics Commons

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