Improving Community Health with Renewable Energy Source
Applied Panel Regression, Breusch-Pagan test, the Hausman test, and the Granger Causality test to examine the relationship between non-renewable energy consumption and asthma prevalence.
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About the Project
The main goal of this project was to explore the relationship between the consumption of non-renewable energy and prevalence of respiratory diseases, especially asthma. The ultimate aim was to prove the causality: The more non-renewable energy consumed, the higher prevelance of asthma.
Methodology
- The following relationships were carefully examined:
- causality between renewable energy source consumption and air quality
- causality between air quality and asthma rates
- causality between renewable energy consumption and reduction in toxic air components
- causality between air components and air quality
- Applied Panel Regression, Breusch-Pagan test, the Hausman test, and the Granger Causality test
*The analysis and a 12-page-long research paper was completed in a limit of 8 hours.
Further Details
For more information, check out the Research Paper here.
About The Data Open
The Data Open is a datathon competition taking place throughout the year at a series of top universities.
At each event, participants work in teams to work through a large and complex dataset and then present their findings to a panel of judges.
For more information, check out the official website
here