Sanction Simulator
Interactive sanction simulator based on the paper “Political Power in International Trade” by Ashwin Bhattathiripad and Vipin P. Veetil. The package bundles
- the estimation model (
power_trade_estimation.py: two-sided RAS rerouting + CES capacity-rationing equilibrium on the world input–output network), - the pre-built benchmark network from the OECD ICIO 2025 release (year 2022), and
- a point-and-click GUI for composing and solving arbitrary sanction scenarios.
Install (macOS / Linux / Windows)
python3 -m pip install sanction-simulator
Python ≥ 3.10. Dependencies (numpy, pandas, streamlit, plotly) are installed automatically.
Run the GUI
sanction-simulator
This opens the simulator in your browser (default port 8601; override
with SANCTION_SIM_PORT). Pick the sanctioning coalition, the targeted
countries, the instrument (full embargo / export ban / import ban), an
optional sector scope, and the structural parameters (τ, δ, ρ, ϱ), then
press Solve scenario. A typical scenario solves in one or two
seconds and reports output losses by country and sector, a world map,
and solver diagnostics.
Programmatic use
import sys
import sanction_simulator as ss
sys.path.insert(0, ss._PKG_DIR)
import power_trade_estimation as pte
bench = pte.Benchmark(ss.data_dir(), cache=ss.bench_cache())
iu, ic = bench.cidx["USA"], bench.cidx["CHN"]
sb = pte.ScenarioBatch(bench, [pte.bilateral_legs(iu, ic)],
tau=0.30, delta=0.10)
sb.balance()
res = sb.solve(rho=-1.0)
loss = bench.s - res["s_omega"][0] # gross-output loss, USD mn
Full pipeline
sanction-simulator-estimate exposes the paper's estimation stages
(--stage validate|baseline|sensitivity|all). The packaged data
contains the pre-built benchmark cache only; a from-scratch rebuild
additionally needs the raw OECD ICIO file 2022_SML.csv placed in the
--datadir directory.
Data note
The benchmark cache (bench_cache.npz) is a lossless, compressed copy
of the network constructed from the OECD Inter-Country Input–Output
tables, 2025 release, reference year 2022 (80 countries × 50 sectors).
Source: OECD Inter-Country Input–Output Database,
https://www.oecd.org/en/data/datasets/inter-country-input-output-tables.html.
The OECD is the source of the underlying data; use of the derived
benchmark network is subject to the OECD's terms and conditions.
License
The code is released under the MIT License (see LICENSE). Copyright
(c) 2026 Ashwin Bhattathiripad and Vipin P. Veetil. If you use this
package in academic work, please cite the paper Political Power in
International Trade.
Metadata
Release files for sanction-simulator 0.1.4
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| File | Size | Uploaded | Provenance | Actions |
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| sanction_simulator-0.1.4-py3-none-any.whl | Python 3 | none | any | Details for sanction_simulator-0.1.4-py3-none-any.whl |
Total release size: 153.6 MB
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