Golitsis, P., & Szamosi, L. T. (2026). Global Supply Chain Pressure Index (GSCPI) and U.S. Transportation Cost Data, code, tables, figures and Monte Carlo simulations for NARDL Analysis, 1998–2026

Replication package for: **Distorted Asymmetry Inference in NARDL Models with a Stationary Forcing Variable: Evidence from Global Supply Chain Pressures and U.S. Freight Prices** Petros Golitsis and Leslie Szamosi, CITY College, University of York Europe Campus. Submitted to *Econometrics* (MDPI). This package regenerates every table, figure and reported estimate of the paper from the raw public data, including all Monte Carlo experiments, which are seeded. **Contents** - `src/` — all estimation and simulation code (Python 3.11)- `data/` — the assembled dataset and all raw public source files as retrieved- `results/` — Monte Carlo output, unit-root tests, empirical results, and all 16 tables of the paper as Markdown- `figures/` — all 5 figures of the paper as PNG- `README.md` — full instructions for reproduction- `requirements.txt` — pinned package versions- `run_all.sh` — one-command reproduction (bash) **Reproduction** ```bashpip install -r requirements.txtbash run_all.sh