Crypto-Microeconomics: The Distribution of Bitcoin Wealth Among Diverse Economic Agents
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摘要
The paper introduces a Crypto-Microeconomic Observability Framework to analyze Bitcoin wealth disparities across five labeled agent classes: Service, Abuse, Malware, Individuals, and Benign. Using descriptive statistics, inequality metrics (Gini, Top-K shares), and time-series analysis, it finds persistent wealth concentration across classes (the Whale-Effect), with Service holding 75.15% of BTC and Abuse 24.26%, while within-class inequality is near maximal (e.g., Individuals Gini ≈ 0.9993). The framework highlights structural unevenness and persistent concentration across major market events, persisting over time [page::1].
