Rakeb-sys/ethiopia-fi-forecast

Build a forecasting system that tracks Ethiopia's digital financial transformation using time series methods # Forecasting Financial Inclusion in Ethiopia Build a forecasting system that tracks Ethiopia's digital financial transformation using time series methods Data Source: ethiopia_fi_unified_data docs.google.com Supporting files: reference_codes -docs.google.com — Valid values for all categorical fields README.md - drive.google.com — Schema documentation Additional Data Points Guide - docs.google.com This spreadsheet contains four sheets to help you identify useful data for your forecasting model: Sheet Description A. Alternative Baselines Additional data sources (IMF FAS, G20 indicators, GSMA, ITU, NBE, financial institution reports) B. Direct Correlation Indicators directly tied to inclusion: active accounts, agent density, POS terminals, QR merchants, transaction volumes, ATM density, bank branches C. Indirect Correlation Enabler/proxy variables: smartphone penetration, data affordability, gender gap, agent networks, urbanization, mobile internet, 4G coverage, literacy, electricity access, digital ID D. Market Nuances Ethiopia-specific context you should understand: P2P dominance (used for commerce, not just transfers), mobile money-only users are rare (~0.5%), bank accounts are easily accessible, very low credit penetration