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A Monetary Model of Blockchain

Author

Listed:
  • Almosova, Anna
Abstract
The recent emergence of blockchain-based cryptocurrencies has received a considerable attention. The growing acceptance of cryptocurrencies has led many to speculate that the blockchain technology can surpass a traditional centralized monetary system. However, no monetary model has yet been developed to study the economics of the blockchain. This paper builds a model of the economy with a single generally acepted blockchain-based currency. In the spirit of the search and matching literature I use a matching function to model the operation of the blockchain. The formulation of the money demand is taken from a workhorse of monetary economics - Lagos and Wright (2005). I show that in a blockchain-based monetary system money demand features a precautionary motive which is absent in the standard Lagos-Wright model. Due to this precautionary money demand the monetary equilibrium can be stable for some calibrations. I also used the developed model to study how the equilibrium return on money is dependent on the blockchain parameters such as mining costs and rewards.

Suggested Citation

  • Almosova, Anna, 2018. "A Monetary Model of Blockchain," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181502, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc18:181502
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    File URL: https://www.econstor.eu/bitstream/10419/181502/1/VfS-2018-pid-11509.pdf
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    References listed on IDEAS

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    1. Mortensen, Dale & Pissarides, Christopher, 2011. "Job Creation and Job Destruction in the Theory of Unemployment," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 1-19.
    2. Fernández-Villaverde, Jesús & Sanches, Daniel, 2019. "Can currency competition work?," Journal of Monetary Economics, Elsevier, vol. 106(C), pages 1-15.
    3. Berentsen, Aleksander, 2006. "On the private provision of fiat currency," European Economic Review, Elsevier, vol. 50(7), pages 1683-1698, October.
    4. Ricardo de O. Cavalcanti & Andres Erosa & Ted Temzelides, 1999. "Private Money and Reserve Management in a Random-Matching Model," Journal of Political Economy, University of Chicago Press, vol. 107(5), pages 929-945, October.
    5. Marimon, Ramon & Nicolini, Juan Pablo & Teles, Pedro, 2003. "Inside-outside money competition," Journal of Monetary Economics, Elsevier, vol. 50(8), pages 1701-1718, November.
    6. Ricardo Lagos & Randall Wright, 2005. "A Unified Framework for Monetary Theory and Policy Analysis," Journal of Political Economy, University of Chicago Press, vol. 113(3), pages 463-484, June.
    7. Mortensen, Dale T. & Pissarides, Christopher A., 1999. "Job reallocation, employment fluctuations and unemployment," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 18, pages 1171-1228, Elsevier.
    8. Marimon, Ramon & Nicolini, Juan Pablo & Teles, Pedro, 2012. "Money is an experience good: Competition and trust in the private provision of money," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 815-825.
    9. Klein, Benjamin, 1974. "The Competitive Supply of Money," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 6(4), pages 423-453, November.
    10. Aleksander Berentsen & Fabian Schär, 2018. "A Short Introduction to the World of Cryptocurrencies," Review, Federal Reserve Bank of St. Louis, vol. 100(1), pages 1-16.
    11. Ricardo de O. Cavalcanti & Neil Wallace, 1999. "A model of private bank-note issue," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 2(1), pages 104-136, January.
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    16. Max Fuchs, 2022. "CBDC as Competitor for Bank Deposits and Cryptocurrencies," MAGKS Papers on Economics 202210, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
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    More about this item

    Keywords

    Blockchain; Miners; Cryptocurrency; Matching function;
    All these keywords.

    JEL classification:

    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System

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