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A dynamic analysis of household debt using a self-organizing map
1Department of Economics, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul, 02707 Korea.
This study visualizes Korean consumer credit data, identifying a large cluster of diligent borrowers and smaller clusters of high-risk individuals. Credit expansion and monetary policy did not alter this fundamental borrower structure.
Area of Science:
- Economics
- Data Science
- Consumer Behavior
Background:
- Fragmented microdata on individual borrowers poses challenges for credit analysis.
- Understanding borrower characteristics is crucial for financial stability.
Purpose of the Study:
- To develop a visualization tool for Korean consumer credit data.
- To identify distinct borrower clusters and their characteristics.
- To analyze the impact of credit expansion and monetary policy on debt structure.
Main Methods:
- Utilized the Korean consumer credit panel microdata.
- Constructed a cluster analysis of consumer credit.
- Developed a self-organizing map for two-dimensional visualization.
Main Results:
- Identified a dominant cluster of diligent, responsible borrowers.
- Discovered several smaller clusters of high-default-risk borrowers with diverse characteristics.
- Found no significant changes in cluster structure with increased consumer credit.
- Observed no impact of expansionary monetary policy on household debt structure.
Conclusions:
- The Korean consumer credit market is characterized by a large majority of responsible borrowers.
- High-risk borrower segments are small but heterogeneous.
- The overall structure of consumer credit and household debt remains robust against credit expansion and monetary policy shifts.
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