Adaptive vs. eductive learning

Adaptive learning and eductive learning are two widely used ways of modeling learning behavior in macroeconomics. Both approaches yield restrictions on model parameters under which agents are able to learn a rational expectation equilibrium (REE) but these restrictions do not always overlap with one another. In this paper we report on an experiment where we exploit such differences in stability conditions under adaptive and eductive learning to investigate which learning approach provides a better description of the learning behavior of human subjects. Our results suggest that adaptive learning is a better predictor of whether a system converges to REE, while the path by which the system converges appears to be a mixture of both adaptive and eductive learning model predictions.