Evaluation of Policy-Relevant Forecasting Advantage of Machine and Deep Learning Models over Classical Econometrics: Evidence from Ghanaian Headline Inflation
This study demonstrates that for forecasting Ghana's headline inflation during a period of structural volatility, a simple ARIMA model outperforms complex machine learning and deep learning approaches, suggesting that exploiting inflation's high persistence is more effective than relying on functional flexibility when facing regime shifts.