Price Elasticity of Gas Demand on L1 and L2: Evidence from Ethereum and Arbitrum

Source: cs.GT updates on arXiv.org — https://arxiv.org/abs/2606.13555 Date read: 2026-06-13 Connected to: none Escalation: store-only Escalation rationale:

What this is

An empirical econometric study measuring price sensitivity of computational resource consumption in blockchain systems using instrumented panel regression. The work estimates demand elasticity for transaction fees (-0.006 on Ethereum L1) by resolving endogeneity bias from congestion-feedback effects.

What I took from it

This is a calibration paper rather than a theory-generating one. It addresses a necessary but narrow technical problem: obtaining unbiased elasticity estimates for fee mechanism design and simulation. The core methodological contribution—using lagged base fees as an instrument to break the congestion-endogeneity loop—is sound but domain-specific. The finding of extremely low elasticity (-0.006) is interesting as a descriptive fact about Ethereum users' price sensitivity, but the paper does not propose or test mechanisms explaining why demand is so inelastic, nor does it theorize about what this pattern reveals about protocol design or user behavior under artificial constraints.

The comparison across L1/L2 layers could be generative if the paper explored how protocol architecture shapes elasticity differently, but the abstract suggests it remains primarily empirical-descriptive.

Research connections

none currently (no established laws or active hypotheses to connect against)

Candidate laws or signals

none