University of Redlands

2021

Using Data-Science to Evaluate GDP Trends

University of Redlands

2021

Using Data-Science to Evaluate GDP Trends

University of Redlands

2021

Using Data-Science to Evaluate GDP Trends

University of Redlands

2021

Using Data-Science to Evaluate GDP Trends

Skills

Stata, Data Science, Time-Series Analysis, Database Management

Products

Top Economics Student Award, Submission-Ready Thesis

Skills

Stata, Data Science, Time-Series Analysis, Database Management

Products

Top Economics Student Award, Submission-Ready Thesis

Skills

Stata, Data Science, Time-Series Analysis, Database Management

Products

Top Economics Student Award, Submission-Ready Thesis

Skills

Stata, Data Science, Time-Series Analysis, Database Management

Products

Top Economics Student Award, Submission-Ready Thesis

Developed an independed vector-autoregressive model that found substantial evidence for the positive impact of industrial-base investment on future GDP growth rate acceleration.

By indepently sourcing, cross-referencing, and evaluating more than 1000 data points from 1903 to 1952 the model evaluated the impact of agriculture, mining, and infrastructure on a nation's future economic growth.