Arbeitspapier

A Monetary Model of Blockchain

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 de- veloped 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

Sprache
Englisch

Erschienen in
Series: IRTG 1792 Discussion Paper ; No. 2018-008

Klassifikation
Wirtschaft
Money and Interest Rates: General
Demand for Money
Monetary Systems; Standards; Regimes; Government and the Monetary System; Payment Systems
Thema
Blockchain
Miners
Cryptocurrency
Matching function

Ereignis
Geistige Schöpfung
(wer)
Almosova, Anna
Ereignis
Veröffentlichung
(wer)
Humboldt-Universität zu Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series"
(wo)
Berlin
(wann)
2018

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Almosova, Anna
  • Humboldt-Universität zu Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series"

Entstanden

  • 2018

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