Error learning boosts economic stability, eliminates cycles in dynamic models
The article explores how people's ability to learn from past mistakes can make economic systems more stable. By studying how agents form their expectations about the future, researchers found that when agents learn from errors, it can prevent economic cycles with imperfect predictions. This finding challenges some previous ideas in economics but makes sense when thinking about how people adapt to improve their decision-making over time.