12 Mac | Eviews

We ran a standard ARIMA(2,1,2) model with 5,000 dynamic forecasts on quarterly GDP data (N=240).

| Task | Windows 11 (Parallels) | EViews 12 Native macOS | Difference | | :--- | :--- | :--- | :--- | | Model estimation (seconds) | 2.4 | 1.9 | -21% faster | | Forecast graph rendering | 1.2 | 0.8 | -33% faster | | Batch scripting (100 loops) | 8.7 | 9.3 | +7% slower | eviews 12 mac

EViews remains superior for rapid VAR, VECM, and unit root testing, but R offers greater flexibility for non-standard models. We ran a standard ARIMA(2,1,2) model with 5,000

' Run on macOS Sonoma wfcreate(wf=test, page=quarterly) 1990q1 2024q4 series y = nrnd series x = nrnd equation eq1.ls y c x eq1.forecast yf show yf.line Result: All commands executed without error. Graph rendered in native Quartz window. Graph rendered in native Quartz window