EconPapers    
Economics at your fingertips  
 

Analyzing Bitcoin transaction fees using a queueing game model

Juanjuan Li (), Yong Yuan () and Fei-Yue Wang ()
Additional contact information
Juanjuan Li: Beijing Institute of Technology
Yong Yuan: Chinese Academy of Sciences
Fei-Yue Wang: Chinese Academy of Sciences

Electronic Commerce Research, 2022, vol. 22, issue 1, No 7, 135-155

Abstract: Abstract In the Bitcoin system, large numbers of miners invest massive computing resources in the blockchain mining process in pursuit of Bitcoin rewards, which are comprised of a fixed amount of system-generated new block reward and a variable amount of user-submitted transaction fees. Here, transaction fees serve as the important tuner for the Bitcoin system to define the priorities in users’ transaction confirmation. In this paper, we aim to study the priority rule for queueing transactions based on their associated fees, and in turn users’ strategies in formulating their fees in the transaction confirmation game. We first establish a full-information game-theoretical model to study users’ equilibrium fee decisions; and then discuss three types of Nash equilibria, under which no, all and some users submit transaction fees. Moreover, we conduct empirical studies and design computational experiments to validate our theoretical analysis. The experimental results show that (1) users’ fee decisions will be significantly affected by their waiting time; (2) the reduced time costs, instead of transaction values, are the basis for users to evaluate their revenues; (3) longer waiting time and higher unit time cost drive users to submit transaction fees in pursuit of desired priorities; (4) with the required transaction fee increasing, the proportion of fee-submitting users decreases slowly at first followed by a sharp decline, and over-high required fees will make the transaction confirmation game end up with no users submitting fees.

Keywords: Bitcoin; Blockchain; Transaction fees; Transaction confirmation queueing game (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10660-020-09414-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:elcore:v:22:y:2022:i:1:d:10.1007_s10660-020-09414-3

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10660

DOI: 10.1007/s10660-020-09414-3

Access Statistics for this article

Electronic Commerce Research is currently edited by James Westland

More articles in Electronic Commerce Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:elcore:v:22:y:2022:i:1:d:10.1007_s10660-020-09414-3