consistent with the statistical properties of the learning algorithm. Our method is generically formulated to cover different …Under adaptive learning, recursive algorithms are proposed to represent how agents update their beliefs over time. For … specifications of the learning mechanism, such as the Least Squares and the Stochastic Gradient algorithms. Using simulations we show …

We compare forecasts from different adaptive learning algorithms and calibrations applied to US real-time data on …

We compare forecasts from different adaptive learning algorithms and calibrations applied to US real-time data on …