Ethereum Tokenomics and Token Value Analysis, 2021–2025

108 bi-weekly observations of Ethereum on-chain fundamentals from August 2021 to September 2025. The dataset was compiled by Zishan Ashraf Mohammad for a quantitative analysis of tokenomic variables like gas fees and total value locked. It supports statistical methods including Spearman correlation and error correction modeling.

Use Cases

• Modeling cryptocurrency price based on total value locked (TVL) and token unlocks.
• Analyzing long-run equilibrium relationships among tokenomic variables using cointegration tests.
• Investigating the impact of transaction gas fees and token burning mechanisms on asset value.
• Assessing the statistical significance of governance concentration on token price.

Strengths

• Covers a 52-month observation window from August 2021 to September 2025.
• Includes 108 bi-weekly data points, enabling time-series analysis.
• Variables are explicitly defined, including gas fees, TVL, token unlocks, tokens burned, and governance concentration.
• Statistical results, such as beta coefficients and p-values, are provided in the description for validation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (25.7 KB), indicating limited scope or a summary of aggregated data.

Provenance

Source

Zishan Ashraf Mohammad via figshare.

Collection Method

Likely compiled from on-chain data sources for academic research.

Time Range

August 2021 to September 2025.

Freshness

Last updated 2026-05-26 05:26:20; freshness should be verified.