Replication Package: Institutional Noise, Strategic Deviation, and Intertemporal Collapse in Protocol Governance

Replication package for "Institutional Noise, Strategic Deviation, and Intertemporal Collapse in Protocol Governance," submitted to the International Review of Economics & Finance. This package contains all code, data, and figures needed to reproduce every result in the manuscript and supplementary appendix. CONTENTS========- replicate.py: Single-script full replication (~530 lines Python). Generates all data, figures, and verification output from scratch.- data/ (18 files): Raw simulation output including cooperation rates, agent heterogeneity analysis, sensitivity sweeps (β, δ, ξ, R), robustness checks (hazard specifications, N-agent, punishment duration), cascade sequences, capital-intensity bounds, welfare analysis, and full calibration parameters (JSON).- figures/ (12 PDFs): Publication-quality figures for the main manuscript (6) and supplementary appendix (6), all generated deterministically from simulation data.- verification/verify_all.csv: Proposition-by-proposition numerical checks for all 11 propositions and Corollary 2. All pass.- checksums.sha256: SHA-256 integrity manifest for all output files.- README.md: Full documentation including requirements, usage, structure, key results, and calibration sources. KEY RESULTS===========- Critical governance-variance threshold: σ²* = 0.0852 (analytical), ≈0.085 (simulation)- Binding agent: Agent 0 (γ = 0.25, δ* = 0.8449)- Sharp phase transition confirmed: cooperation drops from 100% to 0% at threshold- Meta-strategic rent-seeking share jumps from <1% to ~20% at threshold- Capital-intensity bound: hardware with τ ≥ 20-year amortisation cannot be rationally deployed under any positive governance noise- All results robust to alternative hazard specifications, punishment strategies, and agent counts REQUIREMENTS============Python ≥ 3.9, numpy ≥ 1.24, scipy ≥ 1.10, matplotlib ≥ 3.7, pandas ≥ 2.0 USAGE=====Full replication (~5 min): python replicate.pyQuick validation (~40 sec): python replicate.py --quick Deterministic output guaranteed via seed = 20250223. CALIBRATION SOURCES===================- Hash-rate distribution (N = 10 agents): blockchain.com/pools (2023)- Block subsidy: 6.25 BTC (post-2020 halving schedule)- Mean fee revenue: 1.25 BTC (mempool.space, 2023 average)- Baseline discount factor: δ = 0.95 (standard IO literature)