The article discusses how linear rational expectation models can help us understand the long-term relationships in data that changes over time. By looking at cointegration spaces, we can test if these models match up with how data behaves in the long run. This method is useful for figuring out which models are most likely to be correct and gives us insights into the patterns of unexpected events in the data.