Forecasting Unemployment Rate in Malaysia Using Box-Jenkins Methodology during Covid-19 Outbreak

The economic dimension has revealed that weak growth is one of the causes unemployment and related to GDP. Forecasting rate essential an important determinant monetary policy decisions needs be addressed. This study conducted identify whether novel coronavirus 2019, COVID-19 affects Malaysia’s forecast for next two years. Box-Jenkins approach uses Augmented Dickey-Fuller test stabilize data. After reducing trend pattern partial autocorrelation coefficient, ARIMA prediction method (2,1,2) was selected as best model apply time series As a result, projected graph showed steady increase over For future research, it recommended consider factors such inflation, domestic product employment predict this value improve results.