IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2610.16588.html

Demand Under a Mechanical Price: Elasticity and Welfare in Ethereum's Data-Availability Market

Author

Listed:
  • Farbod Ghasemlu

Abstract

Ethereum sells data-availability capacity to rollups through "blobs" priced by a controller: the blob fee rises and falls exponentially with cumulative usage above or below a target, and no auction sets it. We measure what this mechanical price costs. The Pectra upgrade of 7 May 2025 doubled blob capacity on a date fixed weeks in advance, while the market was congested, and the blob fee fell from 0.82 mETH per blob (about USD 1.40) to its 1-wei floor. Rollups' blob purchases rose 24%. The 95% interval, built from the same estimator at 516 placebo dates, runs from 8% to 40%, so removing the entire price raised purchases by at most 40%. The implied elasticity at the pre-shock price is -0.19, and no value below -0.31 is consistent with the interval. The estimate includes any rise in L2 activity that coincided with the fork, so it bounds the price response from above. With demand this inelastic, the controller works mainly as a transfer. Rollups paid USD 14.8 million in blob fees under the first blob regime, 67% of it in two quarters when capacity was full and any market-clearing mechanism would have collected comparable scarcity rents. Where capacity was slack, the reserve price introduced in December 2025 cost at most 2.6 ETH (USD 8,039) in deadweight loss under the most elastic demand the data allow. Mempool records for 5.4 million blob transactions show that when the fee sits at its floor, capacity is slack: transactions miss about one block and are almost never priced out.

Suggested Citation

  • Farbod Ghasemlu, 2026. "Demand Under a Mechanical Price: Elasticity and Welfare in Ethereum's Data-Availability Market," Papers 2610.16588, arXiv.org.
  • Handle: RePEc:arx:papers:2610.16588
    as

    Download full text from publisher

    File URL: https://arxiv.org/pdf/2610.16588
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Uri Simonsohn & Joseph P. Simmons & Leif D. Nelson, 2020. "Specification curve analysis," Nature Human Behaviour, Nature, vol. 4(11), pages 1208-1214, November.
    2. Lioba Heimbach & Jason Milionis, 2025. "The Early Days of the Ethereum Blob Fee Market and Lessons Learnt," Papers 2502.12966, arXiv.org.
    3. David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LLC, vol. 19(1), pages 4-60, March.
    4. Tim Roughgarden, 2020. "Transaction Fee Mechanism Design for the Ethereum Blockchain: An Economic Analysis of EIP-1559," Papers 2012.00854, arXiv.org.
    5. Martin L. Weitzman, 1974. "Prices vs. Quantities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 41(4), pages 477-491.
    6. Matheus V. X. Ferreira & Daniel J. Moroz & David C. Parkes & Mitchell Stern, 2021. "Dynamic Posted-Price Mechanisms for the Blockchain Transaction Fee Market," Papers 2103.14144, arXiv.org, revised Nov 2021.
    7. Liran Einav & Chiara Farronato & Jonathan Levin & Neel Sundaresan, 2018. "Auctions versus Posted Prices in Online Markets," Journal of Political Economy, University of Chicago Press, vol. 126(1), pages 178-215.
    8. Meghan Ambrosia & Bruce Mizrach, 2026. "Transaction Costs and Speed in the Ethereum Ecosystem: Scalability of the Mainnet and Layer 2s," Papers 2606.22206, arXiv.org.
    9. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    10. Kline Patrick & Santos Andres, 2012. "A Score Based Approach to Wild Bootstrap Inference," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 23-41, August.
    11. Catherine Hausman & David S. Rapson, 2018. "Regression Discontinuity in Time: Considerations for Empirical Applications," Annual Review of Resource Economics, Annual Reviews, vol. 10(1), pages 533-552, October.
    12. Easley, David & O'Hara, Maureen & Basu, Soumya, 2019. "From mining to markets: The evolution of bitcoin transaction fees," Journal of Financial Economics, Elsevier, vol. 134(1), pages 91-109.
    13. Uri Simonsohn & Joseph P. Simmons & Leif D. Nelson, 2020. "Publisher Correction: Specification curve analysis," Nature Human Behaviour, Nature, vol. 4(11), pages 1215-1215, November.
    14. Aysajan Eziz, 2025. "Layer-2 Adoption and Ethereum Mainnet Congestion: Regime-Aware Causal Evidence Across London, the Merge, and Dencun (2021-2024)," Papers 2512.14724, arXiv.org.
    15. Meghan Ambrosia & Bruce Mizrach, 2026. "Transaction Costs and Speed in the Ethereum Ecosystem: Scalability of the Mainnet and Layer 2s," FinTech, MDPI, vol. 5(3), pages 1-35, September.
    16. Gur Huberman & Jacob D Leshno & Ciamac Moallemi, 2021. "Monopoly without a Monopolist: An Economic Analysis of the Bitcoin Payment System," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(6), pages 3011-3040.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yulin Liu & Yuxuan Lu & Kartik Nayak & Fan Zhang & Luyao Zhang & Yinhong Zhao, 2022. "Empirical Analysis of EIP-1559: Transaction Fees, Waiting Time, and Consensus Security," Papers 2201.05574, arXiv.org, revised Apr 2023.
    2. Alexander Bertermann, 2026. "The Adolescent Origins of Patience: Global Evidence from Aggregate Instability," ifo Working Paper Series 428, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    3. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Fast and reliable jackknife and bootstrap methods for cluster‐robust inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 671-694, August.
    4. Jaeger, David, 2026. "Robustness? Range Tests for Equality and Equivalence Across Specifications," CEPR Discussion Papers 21802, Centre for Economic Policy Research.
    5. Luyao Zhang & Fan Zhang, 2023. "Understand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary Perspective," Papers 2305.02552, arXiv.org.
    6. Arrieta Vidal, Johar & Florián Hoyle, David & López Vargas, Kristian & Morales Vásquez, Valeria, 2022. "Policies for transactional de-dollarization: A laboratory study," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 31-54.
    7. James G. MacKinnon, 2019. "How cluster-robust inference is changing applied econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 52(3), pages 851-881, August.
    8. Bernard S. Black & Hemang Desai & Katherine Litvak & Woongsun Yoo & Jeff Jiewei Yu, 2024. "The SEC’s Short-Sale Experiment: Evidence on Causal Channels and Reassessment of Indirect Effects," Management Science, INFORMS, vol. 70(8), pages 5131-5156, August.
    9. Dupuy, Jules & Barnay, Thomas & Defebvre, Eric, 2024. "Clear as a bell? Policy stringency and elderly health during Covid-19," Social Science & Medicine, Elsevier, vol. 349(C).
    10. Osun, Elif B. & Ozbay, Erkut Y., 2025. "Evidence games: Lying aversion and commitment," Games and Economic Behavior, Elsevier, vol. 154(C), pages 329-350.
    11. Bertucci, Louis, 2024. "Bitcoin Ordinals: Determinants and impact on total transaction fees," Research in International Business and Finance, Elsevier, vol. 70(PA).
    12. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2024. "Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models," Working Paper 1515, Economics Department, Queen's University.
    13. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2024. "Cluster-robust jackknife and bootstrap inference for logistic regression models," Papers 2406.00650, arXiv.org, revised May 2025.
    14. Liang, Yuan & Wang, Donggen, 2025. "Is fare-free public transport effective in improving air quality? Evidence from Fuzhou, China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 196(C).
    15. Havlik, Annika, 2020. "Political budget cycles in European public procurement," ZEW Discussion Papers 20-069, ZEW - Leibniz Centre for European Economic Research.
    16. Alan D. Crane & Andrew Koch & Leming Lin, 2024. "Real Effects of Markets on Politics: Evidence from US Presidential Elections," American Economic Review: Insights, American Economic Association, vol. 6(1), pages 73-88, March.
    17. Gary Charness & Ramón Cobo-Reyes & Erik Eyster & Gabriel Katz & Ángela Sánchez & Matthias Sutter, 2020. "Improving healthy eating in children: Experimental evidence," ECONtribute Discussion Papers Series 047, University of Bonn and University of Cologne, Germany.
    18. Kim, Daehan & Ryu, Doojin & Webb, Robert I., 2023. "Determination of equilibrium transaction fees in the Bitcoin network: A rank-order contest," International Review of Financial Analysis, Elsevier, vol. 86(C).
    19. Cookson, J. Anthony & Fox, Corbin & Gil-Bazo, Javier & Imbet, Juan F. & Schiller, Christoph, 2026. "Social media as a bank run catalyst," Journal of Financial Economics, Elsevier, vol. 176(C).
    20. Jain, Archana & Jain, Chinmay & Krystyniak, Karolina, 2023. "Blockchain transaction fee and Ethereum Merge," Finance Research Letters, Elsevier, vol. 58(PC).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2610.16588. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: https://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.