Researchers used European panel data to test a macroeconomic model under different assumptions about how people form expectations. They found that using real-time data instead of assuming people always have perfect information can improve the model's accuracy. In particular, errors in measured expectations and real-time output gaps are related over time. This means that relaxing the assumption of perfect information can lead to better predictions about the economy.