Transaction Fee Mechanism Design
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Abstract (arXiv)
Demand for blockchains such as Bitcoin and Ethereum is far larger than supply, necessitating a mechanism that selects a subset of transactions to include "on-chain" from the pool of all pending transactions. This paper investigates the problem of designing a blockchain transaction fee mechanism through the lens of mechanism design. We introduce two new forms of incentive-compatibility that capture some of the idiosyncrasies of the blockchain setting, one (MMIC) that protects against deviations by profit-maximizing miners and one (OCA-proofness) that protects against off-chain collusion between miners and users. This study is immediately applicable to a recent (August 5, 2021) and major change to Ethereum's transaction fee mechanism, based on a proposal called "EIP-1559." Historically, Ethereum's transaction fee mechanism was a first-price (pay-as-bid) auction. EIP-1559 suggested making several tightly coupled changes, including the introduction of variable-size blocks, a history-dependent reserve price, and the burning of a significant portion of the transaction fees. We prove that this new mechanism earns an impressive report card: it satisfies the MMIC and OCA-proofness conditions, and is also dominant-strategy incentive compatible (DSIC) except when there is a sudden demand spike. We also introduce an alternative design, the "tipless mechanism," which offers an incomparable slate of incentive-compatibility guarantees -- it is MMIC and DSIC, and OCA-proof unless in the midst of a demand spike.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Jun 2021.
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Citing papers per year: 2023: 2; 2024: 2; 2025: 0; 2026: 1.
5 papers.
- 2024Games with Payments between Learning Agentscited by 3
- 2023Nik Defense: An Artificial Intelligence Based Defense Mechanism against Selfish Mining in Bitcoincited by 2
- 2023Blockchain Transaction Fee Forecasting: A Comparison of Machine Learning Methodscited by 1
- 2024Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchainscited by 0
- 2026An Adaptive Multichain Blockchain: A Multiobjective Optimization Approachcited by 0
- 2026An Adaptive Multichain Blockchain: A Multiobjective Optimization Approach14 Feb 2026
- 2024Games with Payments between Learning Agents31 May 2024
- 2024Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains24 Jan 2024
- 2023Blockchain Transaction Fee Forecasting: A Comparison of Machine Learning Methods14 May 2023
- 2023Nik Defense: An Artificial Intelligence Based Defense Mechanism against Selfish Mining in Bitcoin26 Jan 2023