Statistical look at reasons of involvement in wars

TL;DR

This paper uses modern data science techniques to analyze the Correlates of War dataset, exploring political, economic, and religious factors influencing international conflicts and uncovering insights into their variances and causal relationships.

Contribution

It applies advanced statistical methods to a comprehensive conflict dataset, revealing new insights into the causes and features of international wars.

Findings

Identifies key factors associated with conflict emergence

Reveals variances and causal relationships among factors

Highlights unpredictable features in conflict data

Abstract

The Correlates of War project scrupulously collects information about disputes between the countries over a long historical period together with other data relevant to the character and reasons of international conflicts. Using methods of modern Data Science implemented in the R statistical software, we investigate the datasets from the project. We study political, economic, and religious factors with respect to the emergence of conflicts and wars between the countries. The results obtained lead to certain conclusions about variances and causalities between the factors considered. Some unpredictable features are presented.