The article discusses problems with a common method for adjusting seasonal data and suggests using a new model called SSARMA to handle seasonality in economic time series. The researchers found that the current method may be fitting the data well due to a misleading factor called spurious seasonal unit roots. Their analysis of economic data supports the effectiveness of the new SSARMA model in addressing these issues.