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Modelling the US presidential elections as a Markov Chain problem
BSE3703 - Econometrics for Business I
11 Pages • Essays / Projects • Year Uploaded: 2022
The 2016 US presidential elections was a closely followed event worldwide. The Republican presidential candidate, Donald Trump, won the electoral votes and the presidential seat even though he lost the popular vote to his Democratic opponent, Hillary Clinton. This electoral outcome came as a surprise to many who expected Hillary to win the presidency. As such, this project aims to apply stochastic Markov Chain models to determine if the election result could have been predicted or forecasted through quantitative analysis.
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