dcommey/food-price-early-warning-ghana

Code for Ghana food price early warning forecasting # Food Price Early Warning in Ghana Code for the paper: **Food Price Early Warning in Ghana: Evidence from Interpretable Forecasting Models** The repository contains Python code for data cleaning, feature construction, forecasting, model evaluation, explainability, and spike-warning experiments. Data files and manuscript files are not included. ## Setup ```bash python -m venv .venv . .venv/bin/activate pip install -e ".[dev,models]" ``` ## Data The scripts use public data sources: - World Food Programme Ghana food prices - World Bank Pink Sheet commodity prices - Ghana Statistical Service exchange rates - CHIRPS rainfall through ClimateSERV Raw and processed data are written under `data/`, which is ignored by git. ## Run ```bash python scripts/01_download_data.py python scripts/02_clean_wfp_prices.py python scripts/03_process_predictors.py python scripts/04_build_features.py python scripts/05_train_baselines.py python scripts/06_train_ml_models.py --include-sarima python scripts/07_explainability.py --shap python scripts/08_make_tables_figures.py python scripts/09_train_early_warning.py ``` Revision and robustness scripts: ```bash python scripts/11_revision_analyses.py python scripts/12_pooled_benchmark_replication.py python scripts/13_revision_figures.py python scripts/14_full_reestimation_for_revision.py ``` ## Tests ```bash python -m pytest -q python -m ruff check src tests scripts ```