New model predicts trends with both stationary and nonstationary errors.
The article discusses how to analyze data when there is a time trend involved. The researchers looked at different models to see how they can best predict outcomes over time. They found that using a panel time trend model can help account for both stationary and nonstationary errors in the data. This approach can provide more accurate results when studying trends over time.