Unraveling the Influence of Wealth on Voting Behavior
DIGHUM 100 Final Project Group 6-6
DIGHUM 100 Final Project Group 6-6
Our mission of this project is to unravel the intricate relationship between economic and social factors and party identity at the county level. This exploration is driven by the need to understand the socio-economic dynamics that underpin voting behavior, providing a nuanced understanding of political dynamics. The project aims to shed light on the economic disparities that persist across counties and how these disparities influence political identity. By examining factors such as GDP per capita, housing prices, and geographical location, the project seeks to reveal the underlying reasons behind people's voting behaviors and uncover potential intersections among these factors. The ultimate goal is to provide insights that could guide effective policy-making, taking into account the diverse needs and priorities of different sections of the electorate.
The project has undertaken a comprehensive data analysis, looking through several datasets that include county election data, GDP per capita, and reliable information on average house prices. This analysis is aimed at understanding the relationship between these factors and election results.
The project has employed theoretical lenses such as Marxism to understand the socio-economic factors that influence voting behavior. This approach helps to highlight the class system and its role in shaping political preferences.
The project has created a heatmap to visualize the geographic distribution of Democrats and Republicans. This effort helps to understand the geographical patterns of party identity.
The project has made its code public to support future researchers, indicating a commitment to transparency and collaboration in the research community.
Contact the following emails to get more information on the project
Haonan Gong: haonangong@berkeley.edu
Isabella Jimenez: isabellajimenez24@berkeley.edu
Hangying Li: arie.li@berkeley.edu
Salah-Eddine Soufi: ssoufi@berkeley.edu