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Analyzing Reward Dynamics and Decentralization in Ethereum 2.0: An Advanced Data Engineering Workflow and Comprehensive Datasets for Proof-of-Stake Incentives

Author

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  • Yan, Tao
  • Li, Shengnan
  • Kraner, Benjamin
  • Zhang, Luyao
  • Tessone, Claudio J.

Abstract

Ethereum 2.0, as the preeminent smart contract blockchain platform, guarantees the precise execution of applications without third-party intervention. At its core, this system leverages the Proof-of-Stake (PoS) consensus mechanism, which utilizes a stochastic process to select validators for block proposal and validation, consequently rewarding them for their contributions. However, the implementation of blockchain technology often diverges from its central tenet of decentralized consensus, presenting significant analytical challenges. Our study collects consensus reward data from the Ethereum Beacon chain and conducts a comprehensive analysis of reward distribution and evolution, categorizing them into attestation, proposer, and sync committee rewards. To evaluate the degree of decentralization in PoS Ethereum, we apply several inequality indices, including the Shannon entropy, the Gini Index, the Nakamoto Coefficient, and the Herfindahl-Hirschman Index (HHI). Our comprehensive dataset is publicly available on Harvard Dataverse, and our analytical methodologies are accessible via GitHub, promoting open-access research. Additionally, we provide insights on utilizing our data for future investigations focused on assessing, augmenting, and refining the decentralization, security, and efficiency of blockchain systems.

Suggested Citation

  • Yan, Tao & Li, Shengnan & Kraner, Benjamin & Zhang, Luyao & Tessone, Claudio J., 2024. "Analyzing Reward Dynamics and Decentralization in Ethereum 2.0: An Advanced Data Engineering Workflow and Comprehensive Datasets for Proof-of-Stake Incentives," OSF Preprints 6ceuz, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:6ceuz
    DOI: 10.31219/osf.io/6ceuz
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    References listed on IDEAS

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    1. Conlon, Thomas & Corbet, Shaen & McGee, Richard J., 2021. "Inflation and cryptocurrencies revisited: A time-scale analysis," Economics Letters, Elsevier, vol. 206(C).
    2. Ziqiao Ao & Lin William Cong & Gergely Horvath & Luyao Zhang, 2022. "Is decentralized finance actually decentralized? A social network analysis of the Aave protocol on the Ethereum blockchain," Papers 2206.08401, arXiv.org, revised Nov 2023.
    3. Elie Kapengut & Bruce Mizrach, 2023. "An Event Study of the Ethereum Transition to Proof-of-Stake," Commodities, MDPI, vol. 2(2), pages 1-15, March.
    4. Yu, Haoyang & Sun, Yutong & Liu, Yulin & Zhang, Luyao, 2023. "Bitcoin Gold, Litecoin Silver: An Introduction to Cryptocurrency’s Valuation and Trading Strategy," OSF Preprints t2fku, Center for Open Science.
    5. Zhang, Luyao & Sun, Yutong & Quan, Yutong & Cao, Jiaxun & Tong, Xin, 2023. "On the Mechanics of NFT Valuation: AI Ethics and Social Media," OSF Preprints qwpdx, Center for Open Science.
    6. J. Zhu & L. Zhang, 2023. "Educational Game on Cryptocurrency Investment: Using Microeconomic Decision-Making to Understand Macroeconomics Principles," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 49(2), pages 262-272, April.
    7. Jiasheng Zhu & Luyao Zhang, 2023. "Educational Game on Cryptocurrency Investment: Using Microeconomic Decision Making to Understand Macroeconomics Principles," Papers 2301.10541, arXiv.org, revised Feb 2023.
    8. Xiang Li & Shuo Zhang & Wei Zhang, 2023. "Applied Computing and Artificial Intelligence," Mathematics, MDPI, vol. 11(10), pages 1-4, May.
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