Analysis of Corruption and Its Determinants by Hierarchical Clustering in OECD Countries

Corruption is a pervasive challenge that negatively impacts various political, economic, and financial indicators. Addressing corruption necessitates a comprehensive and sustained effort towards corruption control to enhance the effectiveness of such indicators. This study aims to investigate the clustering of OECD countries based on socioeconomic factors and corruption. Specifically, hierarchical clustering using the Ward Minimum Variance method was conducted on selected corruption-related variables for 2014-2020. The findings reveal the division of OECD countries into two primary clusters, with similarities identified among certain countries. Convergent countries share common political, economic, and financial experiences.