Seasonality refers to patterns in data caused by factors like weather, holidays, and business cycles. Researchers aim to separate seasonal and non-seasonal effects to better understand economic trends. One approach is to adjust data for seasonal patterns before analysis, while another is to model both seasonal and non-seasonal components together. It is important to accurately estimate these components to make reliable economic predictions.