AI RESEARCH

A Model and Estimation of the Bitcoin Transaction Fee

arXiv CS.LG

ArXi:2604.17183v1 Announce Type: cross Bitcoin transaction fees will become important as the block subsidy declines, but fee formation is hard to study with blockchain data alone because the relevant queueing environment is unobserved. We develop and estimate a structural model of Bitcoin fee choice that treats the mempool as a market for scarce blockspace. We assemble a novel, high-frequency mempool panel, from a self-run Bitcoin node that records transaction arrivals, exits, block inclusion, fee-bumping events, and congestion snapshots.