Learning algorithms fail to reach rational expectations, impacting monetary stability.
The study shows that in a simple monetary model, the way people learn about the economy doesn't always lead to accurate predictions. The researchers found that to make sure their predictions match reality, they need to adjust how quickly they learn based on the economic situation.